Feb 2023 – Sep 2024 · 1 yr 7 mos

Dec 2022 – Jan 2023 · 1 mo

• Family comes first

May 2022 – Dec 2022 · 7 mos · India

Feb 2021 – May 2022 · 1 yr 3 mos

Jun 2017 – Feb 2021 · 3 yrs 8 mos · Noida, Uttar Pradesh

• Currently building Social Graph for paytm(like linkedin) which can span across 200million users and 50 billion relations. This will help us to reach millions of users. (AWS Neptune, Gremlin, Java)
• Lead Paytm Mall Recommendations Engine -- Recs include Similar Products, Personalized Recommendations for users, Popular Products. (Ali Cloud, Java)
• Lead Paytm Mall Product Selection Platform -- Powers growth managers to create a list of curated products which drives around 40-45% of Paytm Mall traffic. Worked on A/B framework for this project which improved our overall CTR by 15%. (Java, Spark, Elastic Search)
• Worked with Paytm Search team for brief, have decent enough idea of Paytm search, Autosuggestions, Spell checks etc. (Java, Elastic Search)
• Saved around $420k per year for paytm in Recommendations Engine framework and by optimizing codebases.
• Built Paymall next gen Pricing system by sharding mysql to support more than 1 billion entries.
• Designed and implemented Paytm’s in-house Conditional User State Machine/Workflow/ECA model, to take care of different onboarding solutions of Paytm (equivalent to Amazon Simple Workflow Service)

Oct 2015 – Jun 2017 · 1 yr 8 mos · Gurgaon, India

• Currently working as Lead Engineer in Snapdeal Personalization team
• Responsible for showing personalized recommendations(products/banners) to users of
• Snapdeal depending upon their deduced-preferences/purchase-history/location/deduced-price-
• range/deduced-brand-class/device-being-used (Spark/Web-Services/Aerospike)
• In process of migrating recommendation system to Elastic Search for better results
• Integral part of Snapdeal`s Targeted Communications team, responsible for personalized
• emails/notifications targeted to users as per their deduced-preferred time/deduced-platform
• (Spark/Kafka/Offline-Services)
• Made end-to-end targeted communications analytics to view performance of personalized
• emails/notifications(Web-Services/Spark)
• Worked on User Journey Engine, which decides different widgets to show depending upon user
• state in journey(Web-Services/Mysql)

Feb 2015 – Oct 2015 · 8 mos · Bangalore

• Worked on Dynamics CRM code base
• Provided framework for filtering functionality in new feature Service Desk
• Implemented Slider Control and Date Control as UI features for filtering
• Implemented Cache for user profiles in new feature One Party Model

Nov 2013 – Jan 2015 · 1 yr 2 mos

• Worked on MongoDB database simulation through java and node.js.
• Providing MongoDB REST services for the products, adding many functionalities to the already provided REST services, hence contributing to open-source development.
• Geo-fencing and Geo-targeting of coupons provided by retailers to consumers, simulation for MongoDB to determine number of concurrent consumers and retailers server can handle
• Employee safety simulation and data modeling in MongoDB
• Working on Meteor and optimizing all the functionalities of it
• Data Modeling of the 2 products in MongoDB
• Big Data Mining and Data extraction
• Best Company to learn :)

Jun 2013 – Nov 2013 · 5 mos · Bengaluru Area, India

• Worked as technical associate doing patent portfolio analysis on Wi-Fi technology

Jul 2009 – Jul 2013 · 4 yrs · Kanpur Area, India