Aug 2022 – Jan 2025 · 2 yrs 5 mos

• Designing and Implementing micro-services and data pipelines around all things Catalogue (data store for all e-commerce products (~7 billion) across ~150 retailers;
• Product Matching System - identifying products that are same across retailers
• Brand Normalization - identifying brand for a product based on title, description and other meta data

Mar 2021 – Aug 2021 · 5 mos · Bengaluru, Karnataka, India

• Worked as a Level 5 SDE in the Digital Commerce Team. I was part of the Privacy Handling Projects, mainly On Demand User Data Deletion. Technologies Used: JAVA, AWS Lambda, AWS SNS, AWS SQS etc.

Jan 2019 – Jan 2021 · 2 yrs · Bengaluru, Karnataka, India

• #2 in LinkedIn Top Startups India 2019 - https://www.linkedin.com/pulse/linkedin-top-startups-2019-25-hottest-indian-work-now-linkedin/
• Responsibilities:
• Team lead for backend and frontend (total 5 engineers) of Data And Algo Engineering team
• Support Hiring Panel which includes mentoring new interviewers on proper interviewing guidelines, setting up problems, Bar Raiser Interviewing etc.
• Part of the Core Design Team which reviewed high level system architectures of all the core products and systems.
• Held multiple Tech Talks on Unit Testing, System Design, Competitive Coding and Interviews, Clean Architecture, Spark etc.
• Part of following Projects -
• Fitness Planner & Automated Workout Generation Engine – Led a team of 5 - 3 backend and 2 frontend engineers to build the end-to-end system to generate workouts (home/gym) given the user profile (experience level, goal, fitness plan preferences etc). Had features like user Feedback over workouts, support for easy configuration of rules, user plan generation for a week/month, user-equipment availability inputs etc. Modeled the rules in ILP (Integer Linear Programming) and NLP (Nonlinear Programming).
• Trainer Allocation System – Solved an NP-Hard problem of allocating trainers to classes, considering the trainer’s work shift constraints, optimal utilization, customers likability and other related utilization metrics. It also suggests a vacancy/surplus of trainers in a particular area/gym. Improved Resource Utilization by > 60%, and cost reduction by >40%.
• Cult – Worked on customer side features like Morning Call Reminder for a class, Membership Transfer, Pause Membership, etc.

Jul 2017 – Jan 2019 · 1 yr 6 mos · Bangalore

• #1 in LinkedIn Top Companies 2018: Where India wants to work - https://www.linkedin.com/pulse/linkedin-top-companies-2018-where-india-wants-work-now-abhigyan-chand/
• Part of Trends and Health Check, where various Ad related metrics and events are tracked. Built the Data Pipeline and Data Infrastructure with Spark and Hadoop which handled >1M data points and aggregation per minute, improved the Processing Rate by >300%
• Worked on the Header Bidding Project - the core ad bidding system's data pipeline which was used to make bids on ad-slots. Improved the View and Click Metrics by 40% in two months.

May 2016 – Jul 2016 · 2 mos · Bangalore

• #1 in Top Attractors Where India Wants to Work Now 2016 - https://lists.linkedin.com/2016/top-attractors/en/india
• Worked as an Intern in the Security Engineering department. Part of the project called Watchdog – A security based tool for Flipkart’s Security Engineering Team. The main purpose of the tool was to secure Flipkart’s external end points and the code base from vulnerabilities caused by the third party libraries, tools and technologies used.

Nov 2014 – Mar 2017 · 2 yrs 4 mos · National Institute of Technology Calicut

• > Conducted a two months long C++ Tutorial for First year B. Tech Students
• > Conducted Code Maestros junior as the problem setter, a programming contest for First
• year B. Tech Students
• > Conducted KoderKombat 2015, as part of Tathva, a tech fest, which had 6 algorithmic
• challenges of varying difficulty. Used CodeChef as the platform (codechef.com/KOKT2015)
• > Organized a Linux Boot Camp for sophomore students of NIT Calicut
• > Organized a workshop on Linux and taught ways of navigating the OS