Apr 2021 – Nov 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

• Part of the Map Moderation Platform Team in Google
• 1. Led the design to develop and launch a MapReduce Pipeline which generates daily snapshots, acting as a
• canonical source to analyze, slice, and aggregate moderation decisions for all the User Generated Content in Google Maps.
• 2. Optimized the pipeline to ingest 40 TB of data and generate snapshots of 1 TB within 2 hours @ p99.
• 3. Received peer bonuses and kudos from team members as a form of recognition.
• 4. Hired new talent in Google by taking 20+ DSA interviews.

Apr 2019 – Apr 2021 · 2 yrs · Bengaluru, Karnataka, India · On-site

• Part of the Cart Team in Amazon
• 1. Reduced the latency of the cart page by 50ms @ p90 by leading the initiative to optimize product-related notifications on Cart Page. Wrote the framework for displaying new notifications in a clean and scalable manner by reducing code duplicity whilst keeping the ease of partner development in mind.
• 2. As part of Stretch goals, on-boarded JRebel, which allowed hot reloading of class files, saving developer time (5 min per build).
• 3. As part of another Stretch goal, evaluated the impact of removing white-spaces and empty new lines from the rendered HTML view, which can reduce the overall markup size by 30%, potentially giving a client-side latency win.
• 4. Received team award for Insisting on Highest Standards during the yearly org event.
• 5. Received 2 accolades from team members for Insisting on Highest Standards and Dive Deep.
• 6. As part of internal learning sessions, presented talks on how to be a 10x developer and shared insights on the threading architecture of the internal codebase.

Oct 2017 – Apr 2019 · 1 yr 6 mos · Bengaluru Area, India

• Part of the Equity Risk Strat Team at Goldman Sachs
• 1. Reduced the latency of the Risk Infra platform used firm-wide by 500% @ p50 by spearheading the initiative to optimize the underlying data store.
• 2. Reduced latency by leveraging in-memory distributed database and eliminated hotspots in long-running SQL queries using Query profiling.
• 3. Developed a custom distributed semaphore framework to throttle memory-intensive queries.
• 4. Revamped the existing risk dashboard to display SLO metrics to provide better visibility to stakeholders for efficient SLA tracking.
• 5. Co-Mentored summer intern on Real-time SRE Pipeline goal which involved working on Apache Kafka,
• ElasticSearch and Kibana.

Aug 2015 – Oct 2017 · 2 yrs 2 mos · Bangalore

• Part of the Equity Risk Team at Morgan Stanley
• 1. Reduced memory utilization by 50% @ p99 of the data aggregation platform used in Risk Tech by implementing a framework that asynchronously wrote to disk while data was asynchronously read and transformed.
• 2. Improved throughput by 30% @ p99 by developing a smart cache solution.
• 3. Improved performance by analyzing GC logs to tweak JVM arguments, and leveraged JProfiler/VisualVM to identify hotspots in code.
• 4. Underwent four months Technical Analyst Training Program (TAP) by Mallon Associates that covered Linux Fundamental, Design Patterns, Dependency Injection, Object Oriented Approaches in C++, Java, C#. Functional Programming in Java 8, Scala, web development essentials.

Jan 2015 – Jun 2015 · 5 mos · Gurugram, Haryana, India · On-site

• 1. Implemented POC for Merchant Plugin (MPI) Development for 3D Secure Authentication of Online Transactions, which will eventually help the company to save millions in commission fees.
• 2. Understood complete workflow of how handshake happens between Payment Gateway and Card Provider (Visa/MasterCard) and designed a working restful service in JAVA.