experience

Software Engineer Intern — Stealth AI Startup

apr 2026 – sep 2026

Remote, US

  • Lifted workflow efficiency and audit trail coverage by 32% by architecting and deploying LLM-powered AI agents that automate multi-step retrieval, reasoning, and tool-use tasks across compliance-sensitive production workflows.
  • Improved structured-retrieval accuracy by 36% across 100K+ unstructured records by building scalable RAG pipelines over domain-specific document corpora using vector databases.
  • Cut model convergence time by 28% while sustaining 12K+ requests/day at sub-150ms latency by engineering Python backend systems for LLM inference and orchestration with fine-tuning and RL-based optimization.

Software Developer Intern — U.S. DoE & Stellantis (UWaterloo Team)

sep 2025 – dec 2025

Waterloo, Canada

  • Guaranteed data correctness across 96 concurrent data streams by designing and implementing Python and C++ services to ingest, normalize, and validate 500+ high-frequency events/sec.
  • Reduced end-to-end execution time by 30% by building a containerized, cloud-native data pipeline for reproducible, auditable test runs using Docker and AWS (EC2, RDS, S3).
  • Raised observability and auditability by 25% while achieving sub-second response times by developing low-latency REST APIs and real-time monitoring pipelines with structured logging and anomaly alerting.

Software Engineer Intern — K10 Group

apr 2024 – jul 2024

Gujarat, India

  • Sustained 99.9% uptime across 10K+ daily requests by designing scalable Python backend services with RESTful APIs, cutting query latency 71% via re-architected SQL and automated CI/CD.