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San Francisco State University
San Francisco, CA
Graduate Researcher - Full Stack R&D Engineer, August 2025 – Present
- Architected and deployed a scalable microservices-based document retrieval system utilized by 200+ researchers, serving 47,000 academic papers and maintaining a low P95 query latency of 1.8 seconds.
- Engineered a full-stack RAG pipeline using Google Gemini AI and vector embeddings, dramatically improving retrieval precision from 62% to 89% through algorithmic optimization and ChromaDB.
- Optimized cloud infrastructure through asynchronous processing and connection pooling, reducing Postgres query time by 40% and enabling the system to handle 3x traffic spikes without performance degradation.
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QRIOUS TECH TEAM LLP
Ahmedabad, India
Software Engineer Intern, January 2024 – June 2024
- Designed and implemented 35+ RESTful API endpoints (Python/FastAPI) with robust features like JWT authentication and rate limiting, supporting 50,000+ daily requests with 99.8% uptime.
- Delivered a serverless ETL pipeline using AWS Lambda and S3 that automated verification of 80,000+ user records daily, eliminating 40 hrs/week of manual work and reinforcing data integrity.
- Collaborated with cross-functional teams of 8 engineers to rapidly troubleshoot production issues, reducing mean time to resolution (MTTR) from 4 hours to 45 minutes through improved monitoring and alerting.
- Optimized the CI/CD pipeline with parallelization and caching, decreasing build time from 15 minutes to 3 minutes and facilitating 12+ daily deployments across environments, demonstrating ability to ship fast.