Jul 2025 – Feb 2026 · 7 mos · Hyderabad, Telangana, India · Hybrid

• Solely leading multiple projects of the scaled support engineering team such as
• Reachout - a product for millions of automated outbound calls and SMSs per day to customers.
• Used by Google Pay India.
• Automated refund system for Google devices
• Google-wide CMS’s content leak prevention systems
• Guidebooks (guidebooks.google.com), Pixel Simulator (https://pixel.withgoogle.com/) with millions of monthly visitors
• Acting as team lead of 3 engineers. Mentoring and managing the above projects with them.
• Received multiple spot bonus from leadership within couple of months of joining for successful completion of a critical POC and hackathon project.

May 2024 – Jul 2025 · 1 yr 2 mos · Hyderabad, Telangana, India · On-site

• Currently working in Azure core (Azure Migrate) - Autonomous WebApp discovery team .
• Earlier worked on Microsoft Learn Platform, also part of Azure core.
• End to end service owner of multiple MS Learn Content Transformation services and publishing pipelines. Rearchitected one of the core service to reduce costs, and generate on-demand up-to-date content for external customers.
• Engaged on multi-month talent rotation basis with multiple teams across geographies to transfer ownership of some of backend services to the team in India, enhancing the overall scope of the team.
• Leading and mentoring junior engineers in both technical and process aspects with focus on improving and maintaining high standards of code quality, security, observability and automation.
• Adding AI to MS Learn platform ( AI Tutor )

Aug 2022 – Apr 2024 · 1 yr 8 mos · Gurugram, Haryana, India · Remote

• Lead developer in a business critical team. Working on Generative AI.
• Making highly available, consistent and scalable systems with all encompassing observability.
• Mentored junior software engineers.
• Identified and removed performance bottlenecks through instrumentation, load testing and architecture review

Aug 2021 – Jul 2022 · 11 mos · Gurugram, Haryana, India · On-site

• Workflows for easy & secure renting of trading machines through CLI for the specified period. The machines can be used for local backtesting as well as doing live trading.
• Modular backtesting engine deployed on AWS for quick backtesting of complex strategies on more than 5 years of equity and derivatives data.
• Common and easy to understand interface and CLI for backtesting strategies and taking them live without extra modifications.
• Integration with multiple brokers.
• Support for saving and using pre-computed trading alphas for fast prediction during market hours.
• Quicksight dashboards for investors.
• A fast exchange co-located order manager written in C++. It’s an event based system using custom Shared Memory Queues and custom object sizes to reduce CPU cycles required for any operation. The order manager has support for Market, Limit and Trigger Orders along with proper throttling support to prevent breach of exchange lease line capacity.
• Researching and deploying multi-leg option trading strategies on indexes.

Mar 2019 – Aug 2021 · 2 yrs 5 mos · Amsterdam, North Holland, Netherlands · On-site

• Ensuring reliability and read/write availability of MySQL databases along with working on new database engineering team initiatives.
• Ensured easy service discovery of MySQL databases.
• During covid, I worked on cost-saving measures like merging pools of read replicas with similar/low traffic which helped reduce MySQL fleet by more than 200 bare-metal servers saving company millions.
• Participating in root cause analysis and writing postmortems.

Aug 2017 – Dec 2018 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

Oct 2015 – Oct 2015 · 0 mo · Kyoto, Japan · On-site

• Attended MLSS, Kyoto 2015 on scholarship and presented my bachelor thesis there.

Jun 2015 – Jul 2017 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

• In the Core ML team, I worked on Feature Repository for easy publishing of pre-computed features and their easy access during experimentation as well as when the models are deployed in production. I also worked on generating product embedding using the text data.
• In the Logistics Tech team, I implemented the purchase shipment APIs and workflows. Additionally, my work involved migration of the shipments data from Dynamodb to MatrixDB, an internal document datastore of Amazon.

May 2014 – Jul 2014 · 2 mos · Hyderabad, Telangana, India · On-site

• Worked on load scheduling goal of the India Line Haul System as part of Commercial Carrier Technology team

May 2013 – Jul 2013 · 2 mos · Munich, Bavaria, Germany · On-site

• Worked on distributed implementation of Stockfish chess engine.