Oct 2020 – Sep 2021 · 11 mos · Bangalore Urban, Karnataka, India

• Worked with core accounting team for the dealership management system as a backend engineer.
• Built and maintained core accounting reports with near realtime computation and consistency with scale.
• Built and maintained excel data exporters

Jul 2019 – Oct 2020 · 1 yr 3 mos

• Designed and implemented data pipeline for Criteo ads.
• Added more transparency in data pipeline and cronjobs by implementing data import status logs, and implemented a dashboard on top of that to monitor all the issues.
• Implemented dashboards for data sanity check reports monitoring data health.
• Optimized analytics data pipeline through proper caching.
• Implemented more granularities in existing data pipelines like Google Ads and Facebook Ads.
• Implemented migration from Google Adwords to Google Ads.
• Improved code quality by refactoring old code and also improved test coverage by adding required unit tests.
• Designed and implemented CSV import support from Google Cloud Storage.
• Smoothly onboarded 3 engineers, helped them in getting started, and conducted various KT sessions.

Jan 2019 – Jun 2019 · 5 mos

• Worked in the core platform (Backend)
• Worked on optimizations on the existing data pipeline to bring data from external Advertising and Analytics sources. And implemented new data pipelines for more advertising channels and optimize them to have near-real-time data on the platform.
• Created sanity checkers for various data pipelines to have proof of the correctness of data from advertising channels.
• Framework: Ruby on Rails (as model and controller).

May 2018 – Jul 2018 · 2 mos · Gandhinagar

• In this internship, I explored the adiabatic model of quantum computation (AQC). This is a Probabilistic Turing machine that can solve some NP-Hard problems with help of adiabatic evolution of the quantum system. The same model is claimed to be implemented by a company “D-Wave system” with the help of Quantum Annealing (QA).

Dec 2016 – Jan 2017 · 1 mo · Uttrakhand

• Primary task of this internship was to explore the life of rural India. Try to understand their problems and how we can solve them with help of ICT. We explored the type of natural medicines (from different plants) that the local people were using. We encouraged local women who were making different handicrafts under “Jan Shikshan Sansthan - HIFEED” to make their merchant account on e-commerce websites like Amazon and eBay. And sell their products in there.