Dec 2024 – Jun 2025 · 6 mos · Mumbai, Maharashtra, India · On-site

• 1. Wrote unit tests and performed load testing for Watchlist Management APIs using Golang and the K6 tool to ensure stability and performance under high load.
• 2. Automated API testing (Search Query, Bcast info and Chart View) using Python scripts, after initial testing via Postman, to streamline the QA workflow.
• 3. Developed a Market Data Client using WebSockets and Flatbuffers in Python to receive real-time updates from dataserver.
• 4. Created performance benchmarking scripts in Bash and Python to simulate multiple WebSocket clients and measure latency, symbol load, and concurrency impact on the dataserver.
• 5. Optimized chart data(ohlcv) retrieval latency by switching from TimescaleDB to compressed Parquet files, reducing load time from ~30s to ~20ms for 7 months of data

May 2024 – Jul 2024 · 2 mos · Hyderabad, Telangana, India · Hybrid

• I worked on the Manage Order Tool, which business teams and developers use at Amazon. During peak periods such as Black Friday and Prime Day, appointments for jobs were being cancelled. However, the business teams could not see the user's journey from appointment creation to appointment completion. To address this, I enhanced the Manage Order Tool by adding an appointment history feature. Additionally, I included the cancellation time to provide a complete view of the appointment lifecycle.

May 2023 – Jun 2023 · 1 mo · San Francisco, California, United States · Remote

• During my internship, I actively contributed to core business teams, enhancing products and gathering requirements. I played a key role in bug fixing, code refactoring, and optimizing performance. I also excelled in UI development, server-side logic, and deploying CI/CD pipelines.