Experience

June 2025 - Present

AI/ML Research Assistant

San Francisco State University
  • Improved course similarity accuracy by 5.3% via feature engineering and a normalized similarity metric, boosting downstream model performance
  • Fine-tuned Sentence Transformer models (BGE, NV-Embed, SFR) using FSDP and triplet loss to optimize semantic embeddings for course equivalency analysis
  • Deployed containerized ML microservices on AWS Lambda, improving system resilience and scalability through independent component scaling
  • Developed and tested C-ID-based equivalency strategies through data-driven experiments, enhancing one-to-many rule logic
January 2024 - May 2024

Machine Learning Engineer Intern

Bluepixel Technologies
  • Fine-tuned LLaMA-3 on medical data to build an AI health assistant generating personalized insights from patient records
  • Designed a LangChain agent to structure model output with 99%+ data integrity for time-series ingestion
  • Built an automated LLM-to-Grafana pipeline via JSON extraction and InfluxDB, visualizing real-time health trends
  • Built a LangChain-based conversational system with dynamic context retention for multi-turn health queries and enforced safety guardrails