slash n - Flipkart Tech Event






slash n

Flipkart's flagship technology event turns three this year. Taking forward the success of 2013 & 2014, we are building on our core belief that knowledge is meant to be shared - and we have some inspiring talks and insightful discussions to get the hive mind buzzing.

As always, slash n continues to serve as an open platform for technologists to unite.

Intelligence @ Scale

This year's slash n theme is 'Intelligence @ Scale'

True to the theme, you will see speakers and the audience engaging on a number of technology areas. Discussions will draw from conceptual frameworks with insights into how these can be applied to solve real world problems.

Schedule

 
This is an invite-only event. Please see the Register section for details on how to register/request for an invite.

Day 1 (Thursday, Dec 10th)

9:00am - 10:00am

Registration + Breakfast

10:00am - 10:10am

Introduction to slash n

By Peeyush Ranjan

Peeyush Ranjan

CTO/Head of Engineering Flipkart

10:10am - 10:35am

Keynote

By Mukesh Bansal

Mukesh Bansal

CEO Commerce Platform, Flipkart

10:35am - 11:00am

Plenary: Virtual Fitting - Opportunities and Challenges

By Jatin Chhugani

Jatin Chhugani

Jatin recently joined Flipkart, working on building cool products that influence lives of millions of users. Previously, he was the CTO & co-founder of PhiSix Fashion Labs (acquired by eBay). His expertise is in the application of innovative 3D modeling, physical simulation and HPC technologies to eCommerce. He has published extensively (50+ papers/patents)

11:00am - 11:25am

Plenary: Deep Learning based Image Similarity for Flipkart

By Krishnendu Chaudhury

Krishnendu Chaudhury

Krishnendu Chaudhury aka Krish is a lifelong student of computer vision. Currently he heads the Flipkart imaging sciences. Before joining Flipkart, he was with Google Research, Mountain View. He has about two dozen international patents and publications in most major conferences and journals of image processing, computer vision and pattern recognition.

11:25am - 11:40am

Tea Break

11:40am - 12:20pm

Program transformation for holistic query optimization

By Prof Sudarshan

Prof Sudarshan

Prof.S.Sudarshan is Subrao M. Nilekani Chair Professor and Head at Department of CSE in IIT Bombay. He is one of the only 6 ACM fellows currently in India. He has published extensively over last 2 decades in premier database conferences like SIGMOD, VLDB and ICDE. In addition his book on Database systems concepts coauthored with Korth and Silberschatz, currently in its 6th edition followed as a text/reference in many university courses across the globe. He holds a BTech in CS from IIT Madras and PhD from Univ. of Wisconsin, Madison. Before he started his academic career, he spent a few years at Bell Labs, New Jersey

Performance of database/Web-service backed applications can be significantly improved by asynchronous submission of queries/requests well ahead of the point where the results are needed so they can be prefeteched. However, manually writing applications to exploit asynchronous query submission is tedious and error-prone. In this talk, we address the issue of automatically transforming a program written assuming synchronous query submission, to one that exploits asynchronous query submission. Our program transformation method is based on data flow analysis and is framed as a set of rules which can handle query executions within loops. We also present a novel approach that, at runtime, can combine multiple asynchronous requests into batches, thereby achieving the benefits of batching in addition to that of asynchronous submission. We have built a tool that implements our transformation techniques on Java programs that use JDBC calls; our tool can be extended to handle Web service calls. We have carried out a detailed experimental study on several real-life applications, which shows the effectiveness of the proposed rewrite techniques, both in terms of their applicability and the performance gains achieved.

Address Classification without using Geolocation Coordinates

By Ravindra Babu

Ravindra Babu

Dr. T. Ravindra Babu is working as Principal Data Scientist. For the last 1.5 years at Flipkart he worked on problems in the area of address classification, MRP extraction from images, Product De-duplication, Optimal text feature selection using Genetic Algorithms, and monkey typed address classification. He had earlier worked for Infosys for 5 years as Principal Researcher and 24 years for ISRO as Scientist 'SG'.

Online retail focuses on optimal delivery system of ordered shipments. In the Last Mile context of a Supply Chain, automatic categorization of addresses is an important problem. An automated solution to this problem reduces manual effort significantly. In the absence of geolocation information in terms of latitude and longitude of individual houses and a definitive structure in the addresses, classifying a given address as belonging to a particular locality is a challenging task. In the current work we devised an accurate method that classifies the addresses belonging to a region as belonging to predefined subregions in the background of the above challenges.

12:20pm - 1:00pm

Large Scale Data Migration: Challenges / Solutions

By Chetna Chaudhari

Chetna Chaudhari

Chetna is a aSoftware Engineer at Flipkart responsible for building multi-tenant data platform with focus on infra resource management. She is also working on things related to Apache Hive and Tez. She has 2.5 years of experience with interest in building large scale distributed systems. She completed her Post Graduation from Department of Computer Science, University of Pune.

Giridhar Yasa

Giridhar Yasa

"Giridhar Yasa is an Architect in Flipkart's Cloud Platform team working on distributed storage systems and content delivery. Over the years, he has built systems for solving problems in radio link control in mobile handsets, applications for low power devices, satellite networking, internet access & security devices, and enterprise storage. Giridhar believes in the ideals of free software and has been volunteering as an official Debian developer for a few years"

Nikhil Bafna

Nikhil Bafna

Nikhil Bafna is an SDE 2 in the Payments team at Flipkart. He joined Flipkart 2.5 years ago and primarily works on scaling the payments system. He was also a part of MySQL SME team for DC migration.

During a recent capacity expansion that involved a data center migration, Flipkart moved data from disparate sources and re-connected systems with very little down-time. This includes hundreds of databases in user facing services, catalog information, business intelligence data, backup systems, persistent message queues and CDN data. This talk introduces the issues involved in an exercise like this and the solutions employed to ensure a smooth internal and external customer experience.

A Sneak peek into the Android internals and Exploring Android hooking

By Bibek Kumar Padhy
Talk starts with a sneak peak into the android internals. We take a look into a sample flow from booting the phone to the point when the application takes control. We take a 360 view of zygote.Then we act as a kernel programmer and contrast kernel hooking with hooking in android and what power it provides to the module writer. Then we take a look into the world of security and sandboxing in android and how it can be exploited. we also explore the most recent addition by google in android to enhance security in android (SE Linux).

1:00pm - 2:00pm

Lunch

2:00pm - 2:30pm

CAP Theorem: You don't need CP, you don't want AP, and you can't have CA

By Siddhartha Reddy

Siddhartha Reddy

Siddhartha is an Architect at Flipkart, presently working on the company's central Data Platform. He has built and operated several distributed data systems (including Flipkart.com's search and offers platforms) with varying needs of scale, consistency, & availability. Siddhartha's areas of interest include large scale distributed systems, databases, and information retrieval.

"CAP Theorem is everywhere: "Consistency, Availability, Partition tolerance - choose any two!" But it is oversimplified and misunderstood more often than not. CAP's consistency isn't what most people think it is; CAP's availability isn't what most people think it is; what does partition-tolerance even mean? In this talk we'll explore the CAP-theorem and understand what it is really asserting. We'll understand that just calling a system out as CP or AP (or even CA) is pretty pointless, and learn to judge them beyond the simple monikers. We'll also analyse some popular databases of the world (Cassandra, MongoDB, HBase, MySQL etc.) with this framework."

Deep Learning for NLP

By Devashish Shankar

Devashish Shankar

Techie at Flipkart. More details coming soon

Deep learning is a fairly new technique that has dominated pattern recognition in the past few years, especially Computer Vision and Speech Recognition. In this talk I will explain the basics of Deep Learning in the context of Natural Language Processing (NLP). NLP has a lot of applications, such as prioritising e-mails received by Customer Care, categorising Tweets aired towards an Organisation, measuring impact of Promotions in Social Media, etc. I will depict our foray into Deep Learning with these classes of applications in mind. Specifically, I will describe how we tamed Deep Convolutional Neural Network, most commonly applied to Computer Vision, to help classify (short) texts, attaining near-state-of-the-art results on several SemEval tasks consistently, and a few tasks of importance to Flipkart.

2:30pm - 3:00pm

Scaling Systems using change propagation across data stores and sharding

By Jagadeesh Huliyar

Jagadeesh Huliyar

Jagadeesh is an Architect at Flipkart. He is currently working on Flipkart's Supply Chain and Logistics Platforms focussing on Fulfilment Planning and Orchestration. Prior to this he was architect for Payments, Settlement and Fraud Detection Systems at Flipkart. He has built and operated several scaleable and highly available distributed systems. His interests include Change Propagation, Messaging Systems, Databases and Operations Research that focusses on Logistics and Routing problems.

Systems that need to handle large scale often use a combination of Data Stores to server varied use cases. It is fairly common for products and services to use Relational Databases to store business critical data. These data stores therefore become source of truth for such data. However Relational Databases may not scale well for all kinds of use cases. Use cases include analytics, reporting, search indexing, historical reads, etc that need this data in secondary data stores. Some of these secondary data stores are non-relational and are efficient at handling such use cases. Different databases try to optimize for specific workload patterns and data durability, consistency guarantees. These data stores are not operated in isolation and must share data and updates. There is then, a need, for a system to transfer data from the primary data store to these secondary data stores. In Payments, data from these secondary stores is used to feed more than just business decisions. The data from these secondary data stores feeds into Real-Time use cases like Console, Fraud Detection and Monitoring Systems. We therefore needed a system that can transfer data across data stores in real time. Aesop is a keen observer of changes that can also relay change events reliably to interested parties. It provides useful infrastructure for building Eventually Consistent data sources and systems. Aesop scales by partitioning the data stream and coordinates across subscription nodes using Zookeeper. It provides at-least-once delivery guarantees and timeline-ordered data updates. Aesop is used at scale in business critical systems – the multi-tiered payments data store, the user wishlist system, and streaming facts to data analysis platform at Flipkart. Aesop has been used successfully to move millions of data records between MySQL, HBase, Redis, Kafka, and Elasticsearch clusters. Aesop shares common design approach and technologies with the Facebook Wormhole system

How smart can smart proxies be

By Anuj Mittal

Anuj Mittal

Techie at Flipkart. More details coming soon

"How smart can a smart proxy be? Proxy is loosely understood as entity representing some other entity. For the scope of our interaction, we will restrict ourselves to the role of remote proxies i.e. when 2 communicating entities are in different address spaces, more precisely over network. In such a paradigm, how proxy manifests and elevates itself from being a layman term to a necessary sophisticated computing pattern. What are the different techniques of implementing proxy is it a code running in a client/server process or is it a mid-tier process having dedicated resources? What are the essential features in modern day proxies? What are the popularly used proxies, how flipkart is solving it? And much more.. Lets flock together to explore "

3:00pm - 3:30pm

Fraud Detection @ Flipkart

By Abhiram Kaushik

Abhiram Kaushik

Abhiram is an SDE 2.5 in the Transact team, currently working on the Buyer Fraud Detection problem. Before getting his hands on Fraud Detection, Abhiram was involved in the Logistics and Fulfillment charters of Supply Chain at Flipkart. When not coding, you can find him haggling on Steam for cheap indie games.

Robin Chugh

Robin Chugh

Robin is an engineer in the Trust & Safety team in Flipkart. He is a Big Data enthusiast with a penchant for solving Fraud related problems. Solving real challenges by deploying machine learning algorithms at scale is what he loves to do at Flipkart.

"Fraud Paradigms and Techniques Discussion about building a platform in the e-commerce domain that can host custom fraud detection pipelines for various use cases of buyer and seller fraud. The platform features both batch and realtime processing. Challenges like distributed processing, scalability, fault tolerance, low-latency shall be discussed. The detection pipelines can be powered by Machine Learning or Rule based models. The platform eases building pipelines and on-boarding multiple clients. The system also facilitates domain specific configurations and optimisations, feedback loops to constantly enrich our decision making capabilities."

Near real time indexing

By Thejus VM

Thejus VM

Techie at Flipkart. More details coming soon

Umesh Prasad

Umesh Prasad

Umesh is a SDE -3 in Flipkart Search Team. He is the resident solr/lucene expert in Flipkart and has been instrumental in building critical frameworks and solutions for search team.

Imagine the frustration of the user, when they found their perfect wish while browsing, only to realize it later (when they clicked it) that it was out of stock or the price switched or it was not delivered at their location. This happens when the search index doesn’t have the real-time availability, price and seller information. Hence it is a core challenge that an E-Commerce marketplace search engine has to solve. Regular document search index technologies (like Solr/Lucene) have trouble dealing with attributes which are in high constant flux (like availability, price) which are typically seller/listing specific attributes. In this talk, we present the challenges and our solutions for a customized search index for e-commerce addressing these challenges.

3:30pm - 3:45pm

Tea Break

3:45pm - 4:30pm

Plenary: India - at the cusp of technology led transformation

By Nandan Nilekani

Nandan Nilekani

Entrepreneur and Bureaucrat


Day 2 (Friday, Dec 11th, 2015)


9:00am - 10:00am

Registration + Breakfast

10:00am - 10:45am

Cloud out of thin air

By Vinay Y S

Vinay Y S

Techie at Flipkart. More details coming soon

10:45am - 11:25am

Mission complexities/challenges and systems that went into Chandrayaan, and Mangalyaan

By Dr. S. K. Shivakumar

Dr. S. K. Shivakumar

Dr. S.K. Shivakumar, Padma Sri awardee, Distinguished Scientist had served as Director, ISRO Satellite Centre and ISRO Telemetry, Tracking and Command Network Centre, Bangalore. He is alumnus of IISc. He lead a team of more than 2500 scientists in design, development and production of satellites for Indian space program that include remote sensing, communications and scientific missions. Under his leadership ISRO's Deep Space Network consisting of 32met antenna was realised. He was a key member in achieving Chandrayan-1 and Mangalyaan missions.

Indian Space Research Organisation forms an Indian success story that indigenously designed, developed and launched remote sensing, communications as well as scientific missions. It reaped benefits from space for the benefit of the country and earned international recognition. The current talk focuses on mission complexities and challenges as well as the systems that went into two missions, viz., Chandrayaan, mission to moon and Mangalyaan, an interplanetary mission to Mars. The missions required unprecedented challenges of project management, design of launch vehicle and spacecraft, developing ground segment which required a 32met diameter antenna, a challenging space segment, complex flight dynamics and mission management. The talk takes us through this journey.

11:25am - 11:40am

Tea Break

11:40am - 12:20pm

Progressive web app: Flipkart lite

By Jai Santhosh

Jai Santhosh

Jai is a front-end engineer who loves engineering User Interfaces, very passionate about building applications with JavaScript and an ardent Web lover. Jai is a Lead UI Engineer in the Flipkart Lite team and part of the core team exploring new avenues with mobile web and apps.

Abhinav Rastogi

Abhinav Rastogi

Abhinav is a UI Engineer at Flipkart, presently working on the new mobile site, Flipkart Lite. He has been a part of the development of almost all web based properties of Flipkart, including the desktop website, all webviews in the native apps and the Slashn website itself. His team has open-sourced the single-page-app framework they created for the new mobile site, which is an amalgamation of path-breaking web technologies such as Service Workers, Manifest, CSP, React and much more. His interests include pushing the limits of web tech, front-end performance and JS programming paradigms.

"Progressive web apps are a brand new breed of web applications which give you a fast, reliable, engaging and an app-like experience. In this talk, we do a deep dive into how you can power your web apps with Service Workers and other modern web capabilities to build such experiences and how you can have an effective offline experience as well as engage your users with push notifications. We also share our journey through architecting Flipkart Lite and explain how we built it to be fast and immersive with a highly performant user experience."

Powering Seller profitability through data insights

By Srinivas Chamarthy

Srinivas Chamarthy

Srinivas Chamarthy leads the Selling Insights and Brand Services engineering teams at Flipkart. He has deep experience in Big Data and Machine Learning and running high availability, low latency systems. He is also a certified PMP. Srinivas enjoys solving architectural and Big Data challenges.

The Seller Insights and Recommendations Platform analyzes data-models, generates recommendations and delivers personalized insights. The platform leverages Big Data for the generation, adoption and net effect of the insights, tracks consumption and derives meta-insights to provide visualizations with cause-and-effect. This talk will showcase the technologies utilized for the Insights Platform and the challenges faced.

12:20pm - 1:00pm

Building Ping : How hard can it be?

By Kaustav Chakravorty

Kaustav Chakravorty

Kaustav joined Flipkart almost a year back in the Ping team, and has been closely involved in building Ping from the ground up. He has worked on a diverse range of software systems in his career, ranging from firmware for small embedded systems to custom Unix kernels for networking devices to scalable distributed applications.

Kiran Kumar

Kiran Kumar

Kiran is a software developer in the mobile engineering team at Flipkart. He has been part of teams which built Flyte MP3, Flyte eBooks and Flipkart shopping app from the ground up; not to forget the Slash N app itself. His expertise lies in building cool looking and performant user interactions on Android and iOS apps

Social interaction is an integral part of the shopping experience in real life, and with Ping we have brought this important dimension to the Flipkart mobile app. At its core, Ping requires reliable, ordered, bi-directional messaging between users in real-time and at scale. In this talk, we will discuss the high-level architecture of Ping, some of the key problems the team had to solve, and future directions for Ping

Fast Distance Matrix computation using Contraction Hierarchies

By Vikas Veshishth Gargay

Vikas Veshishth Gargay

Vikas is an SDE-2 at Flipkart, presently working on the company's Geo Intelligence and Mapping Platform. He has built and operated routing solutions with varying needs of speed, scale, consistency & availability. Vikas' areas of interest include algorithms, mathematics, large scale distributed systems and tinkering with programmable devices.

"Many optimization problems in logistics depend on the computation of distance between all pairs of points. The pairs of distances are typically represented in distance matrix. For example to optimize the delivery of 1000 shipments from a delivery hub, 10,00,000 distance pairs need to be computed. To find each single pair 100,000 nodes are explored on a typical road network graph. All these computations take time and memory. This talk will provide an introduction on why normal ways to compute big distance matrices fail(in time and memory) and how we have solved this problem using Contraction Hierarchies. Idea of routing using Contraction Hierarchies is seen in Robert Geisberger thesis(2008), and it or it’s variants are used daily by people throughout globe in finding routes and directions on maps, while travelling or taking a cab ride."

1:00pm - 2:00pm

Lunch

2:00pm - 2:30pm

Spark and friends - a peek into Spark internals and capabilities

By Jairam Ranganathan

Jairam Ranganathan

Jai Ranganathan is a Director of Product at Cloudera, where he is responsible for developing roadmap and delivering on the next generation of MapReduce, YARN & Spark.

Spark is the new poster child for big data analytics but surprisingly little is actually understood about how this system works, and what its capabilities actually are versus what they are claimed to be. This talk will dive into details on various parts of the Spark ecosystem and give a deeper explanation of how Spark works as well as what the current capabilities and limitations are.

Predictable and Prioritized compute on volatile multi source data

By Anshul Gupta

Anshul Gupta

Anshul is architect @flipkart. He is currently working with Flipkart Promotion Plartform team (Santa). He is part of the team from vering conceptualization and instrumental in evolving the system to the growing scale of flipkart. Prior to this he was working with recommendation team.

Prarabdh Awasthi

Prarabdh Awasthi

Techie at Flipkart. More details coming soon

Consider the scenario where business comes and asks to run a flash sale to react to competitive sales. Such asks are very time sensitive as they have huge business implications (E.g. “Deal of the hour”, you can’t take half an hour to complete processing). So, how do you compute the construct specified for the sale over the huge volatile catalog and serve it to the users. We present you the solutions and challenges in building such a performant & predictable processing pipeline, the journey of evaluating multiple design paradigms and rational behind functional and non-functional choices.

2:30pm - 3:00pm

Simplifying User Insight generation using PExtract

By Avnish Kumar Gupta

Avnish Kumar Gupta

Avnish Gupta is a Computer science graduate from BITS Pliani and has 6+ years of experience in software product industry. He has been associated with Flipkart for more than 4 years and has been instrumental in developing payment and ML model evaluation platforms. He is currently working with User insight team as SDE III product.

Sudhir Reddy

Sudhir Reddy

Sudhir Reddy is Architect at Flipkart, currently focusing on building the next generation User Insights platform. Prior to Flipkart he worked at Yahoo! and Symantec, where he built various large scale distributed system components in Groups, Answers, Search, Spam, Advertising, Analytics Platform, File Systems and Application Security.

Viresh Gehlawat

Viresh Gehlawat

Viresh joined the User Insights team at Flipkart last year from campus. He has done his B.Tech in Computer science from IIT Guwahati. Apart from work he is interested in sports and travelling - squash and badminton being his favourite sports.

Providing a personalized online shopping experience for each user leads to better conversions through increased relevance and strengthens customer loyalty. We analyze Terabytes of browse and purchase activity data to infer the user preferences and interests. Some of these are based upon rules, some are complex algorithms and others are based on machine learning models. We will talk about some of the insights being generated, their usage. We will also talk about Pextract a framework extending PMML(Predictive Model Markup Language), built to leap over the shortcomings in productionising machine learning based insights and simplifying the iterative changes in rule based insights.

LogSvc: bitter-sweet taste of scale

By Janmejay Singh

Janmejay Singh

Janmejay is an Architect on Infrastructure team in Flipkart. In his current role he has built first and second generations of log aggregation, storage and indexing service(internally called LogSvc) which is responsible for gathering, moving, storing and indexing log messages that are produced by various applications running in Flipkart data-center. Before his current assignment, he was with pricing/demand-shaping team.

Log-service (LogSvc) is a managed service that aggregates, archives and indexes logs from all applications/services in Flipkart. This talk explores scaling a portion of the tech-stack that makes LogSvc tick. After a quick introduction to LogSvc architecture, we go deeper into the sub-system that powers log-search using SolrCloud. We share our leanings from scaling this cluster from a sustained aggregate indexing throughput of 40K messages/sec to 2.2M messages/sec(a 50x jump) without increasing the cluster size and we talk about mistakes made and lessons learnt in the exercise.

3:00pm - 3:30pm

Building mobile advertising with an ecommerce flavour for Flipkart

By Jagmeet Singh

Jagmeet Singh

Techie at Flipkart. More details coming soon

Sourav Singh

Sourav Singh

Sourav is a Product Manager for data platform and pricing in the flipkart Ads team. Before Flipkart, was leading product management in ziffi.com, a healthcare & wellness tech startup. Have worked in Barclays Capital, London as a quant in an earlier stint. An alumnus of IIT Kharagpur and ISB

"While building out advertising product for sellers in our marketplace, we faced some major challenges: The traditional reporting metrics on desktop ads is not relevant on mobile What is the correct metric on which the pricing model should be based for Product Listing Ads? Impressions, clicks, conversions or something else? What is the correct conversion attribution for ads shown as the full customer lifecycle is measurable on an ecommerce site The talk focusses on new measurement metrics and techniques to correctly measure ad performance of Product Listings Ad for sellers. The talk will also briefly touch on open challenges and the way forward."

MySql & HA

By Anantharam Vanchiprakash

Anantharam Vanchiprakash

Techie at Flipkart. More details coming soon

Vikramaditya M

Vikramaditya M

Vikramaditya M is a Software Development Engineer 3 at Flipkart. He specializes in building high performance applications and large scale distributed systems. Outside of work, Vikram is passionate about cricket and online gaming.

MySQL is a popular data store for the stability, convenience and familiarity it provides, along with strong guarantees around data durability and transactionality. However, traditionally, we have relied on asynchronous Master-Slave replication (which has a tendency to lag while replicating on a single thread), and any permanent failures on the Master can result in a large recovery time or even data loss. This is where a full multimaster setup comes in, providing strong data durability without sacrificing the guarantees a standalone MySQL server provides, while also scaling linearly for reads, and giving improved performance for writes. This will be a quick talk on one of the possible solutions (Galera), its methodology, use cases and pitfalls.

3:30pm - 3:45pm

Tea Break

3:45pm - 4:45pm

CEO Panel Discussion

By Sachin Bansal

Sachin Bansal

CEO Flipkart

Rahul Yadav

Rahul Yadav

Former CEO, Housing

Naveen Tewari

Naveen Tewari

CEO InMobi

Vijay Shekhar Sharma

Vijay Shekhar Sharma

CEO PayTM

4:45pm - 6:00pm

Networking




Speakers
Abhinav Rastogi
Flipkart
Abhiram Kaushik
Flipkart
Anantharam Vanchiprakash
Flipkart
Anshul Gupta
Flipkart
Anuj Mittal
Flipkart
Avnish Kumar Gupta
Flipkart
Bibek Kumar Padhy
Flipkart
Chetna Chaudhari
Flipkart
Devashish Shankar
Flipkart
Dr. S. K. Shivakumar
ISRO Satellite Centre
Giridhar Yasa
Flipkart
Jatin Chhugani
Flipkart
Jairam Ranganathan
Cloudera
Jai Santhosh
Flipkart
Jagadeesh Huliyar
Flipkart
Jagmeet Singh
Flipkart
Janmejay Singh
Flipkart
Kaustav Chakravorty
Flipkart
Kiran Kumar
Flipkart
Krishnendu Chaudhury
Flipkart
Mukesh Bansal
CEO Commerce Platform, Flipkart
Nandan Nilekani
Entrepreneur & Bureaucrat
Naveen Tewari
CEO, InMobi
Nikhil Bafna
Flipkart
Peeyush Ranjan
CTO/Head of Engineering, Flipkart
Prarabdh Awasthi
Flipkart
Prof Sudarshan
IIT Bombay
Rahul Yadav
Former CEO, Housing
Ravindra Babu
Flipkart
Robin Chugh
Flipkart
Sachin Bansal
CEO, Flipkart
Srinivas Chamarthy
Flipkart
Shivram Khandeparker
Flipkart
Siddhartha Reddy
Flipkart
Sourav Singh
Flipkart
Sudhir Reddy
Flipkart
Thejus VM
Flipkart
Vijay Shekhar Sharma
CEO, Pay TM
Vikas Veshishth Gargay
Flipkart
Vikramaditya M
Flipkart
Vinay Y S
Flipkart
Viresh Gehlawat
Flipkart

Location

Get Directions!

Nimhans Convention Center, Bangalore

NIMHANS Convention Centre

Lakkasandra, Hombegowda Nagar, Bengaluru, Karnataka 560030

Contact: slashnquery@flipkart.com
NIMHANS Convention Centre

Map Data
Map data ©2015 Google
Map DataMap data ©2015 Google
Map data ©2015 Google
Map
Satellite

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If you are a Flipster:

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If you are not a Flipkart Employee:

If you would like to attend the event, please ask one of your friends at Flipkart to request for an invite.
Invitation will be confirmed based on availability.

Please Note: This is an invite-only event. You need to have a confirmed registration to attend this event.



Highlights 2014

 
Slash n Introduction
Amod Malviya
 
Keynote
Sachin Bansal
Tech
Mining data : A Mobile Perspective
Rajiv Bhat
Tech
The Fishbowl of Existence
Dinkar Sitaram & Ashok Raman
Tech
The Art of Promising
Vikas Bansal and Yogi Kulkarni
Tech
Job Scheduling in Hadoop
Joydeep Sensarma
Tech
Internals of forecasting and modelling
Ananda & Mohit
Tech
Instrumenting any android app to get detailed HTTP stats
Gaurav Lochan
Tech
Co-occurrence analysis on Product Clusters
Srikar Appalaraju
Tech
Swipe to buy : Mobile retail
Pratyush Verma & Chetan Kalyan
Tech
The Great Convergence
Phaneesh Nagaraja, Amar Nagaram & Kiran Kumar
Tech
Leveraging Scale to Improve Human Learning
Sridhar Sundaram
Tech
Visualising Big Data
Anand S
Tech
Semantic Search at Flipkart
Thejus V M , Bipul Jain & Siddhartha Reddy
Panel Discussion
Hope, hype and reality of Big Data Analytics
 

Contact Us

If you have any questions regarding slash n or wish to be invited to attend the conference, please send an email to slashnquery@flipkart.com.We will get back to you as soon as possible.