Aug 2024 – Jul 2025 · 11 mos · Tempe, Arizona, United States · On-site

• Instructional Aide and Grader for Human Computer Interaction Course (HCI).

Apr 2023 – Jul 2024 · 1 yr 3 mos · Remote

• Drove end-to-end backend development of various modules in the crypto exchange, including Portfolio Service, Spot Trading, and Futures Derivatives, enhancing trading functionality for over 16M users and $150M in daily volumes.
• Architected and implemented a real-time P&L service for user portfolios using a scalable, distributed worker environment with Redis Queue and DLQ support leveraging sliding window to process 10,000 workers/minute.
• Built an in-house Remote Config Service to replace Firebase, handling 200 req/sec and delivering real-time updates to 100K+ active devices, reducing cost and dependency on external services.
• Diagnosed and resolved P0 issues through in-depth root cause analysis and targeted optimizations, resulting in a significant decrease in order rejections, minimized net positions in sub-accounts and reducing monetary exposure from 2% to 0.001%.

Jul 2021 – Mar 2023 · 1 yr 8 mos · Remote

• “Monolith to microservices” - Led the low-level design and development of the Exchange Gateway with 7 microservices handling low-latency trading data.
• Designed and implemented a stateless Fetch Engine with a rate-limit orchestrator capable of ingesting 50MB/sec from 4000+ WebSocket exchange channels, boosting platform responsiveness and reliability in real-time trading.
• Optimized database connection efficiency in Monolith service by implementing a custom Rails ORM patch and PGBouncer, reducing idle PostgreSQL connections by 80%, which improved resource utilization and DB performance.
• Tech-stack: Golang, Ruby On Rails, Node.js, C++, Python, Kafka, Redis, Kubernetes, AWS(RDS, EC2, DynamoDB).

Dec 2020 – Jun 2021 · 6 mos · Pune, Maharashtra, India · Remote

• Created ETL pipelines using CDC connectors and Kafka to migrate real-time data from production to a data warehouse, efficiently handling 50,000 events/min, enhancing data accuracy and reliability for Amazon’s Buy Now Pay Later feature.
• Tech-stack: Python, AWS(S3, Redshift, Lambda), MySQL, MongoDB, Kafka, Debezium.

May 2020 – Aug 2020 · 3 mos · Ahmedabad, Gujarat, India

• Developed a Flask service to run a machine learning model predicting heap maps on time series and geospatial pollution data, with a Node.js service generating interactive maps, improving environmental data accessibility and visualization.
• Tech-stack: Python, Node.js, Flask, PostgreSQL-GIS, Cassandra, Docker, GCP.