- Exploring agentic workflows and multi-step LLM orchestration with LangGraph
- Sharpening evaluation pipelines for RAG systems (RAGAS, hallucination scoring)
- Open to Applied AI, ML Engineering, and GenAI/RAG roles — always happy to talk shop
- M.S. in Artificial Intelligence, Northeastern University (GPA 3.91/4)
- 3.5+ years across NLP, LLMs, and computer vision — from research (Sanskrit-based embeddings) to production (grant-writing copilots)
- Shipped systems that cut task time by 70% and reduced hallucinations by 40%
GenAI & LLM
ML / DL
Cloud & Infra
Languages & Backend
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GrantWell — AI Grant-Writing Platform RAG-powered assistant on AWS Bedrock + Claude 3.5, serving 500+ users across 50+ municipalities. Cut grant prep time by 70% and doubled successful submissions. |
Channel-Adaptive ViT for Microscopy Channel-agnostic Vision Transformer generalizing across biological datasets with 3–5 channels. Trained on 220K+ images, 95.31% accuracy, ~40% faster training. |
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Course Planning Copilot RAG system (LangGraph + GPT-4o + pgvector) unifying course catalogs and reviews for sub-second, natural-language academic planning. |
Vibify — Emotion-Based Music Recommender Real-time facial sentiment analysis driving intelligent, mood-aware music recommendations. |
Open to Applied AI, ML Engineering, and GenAI/RAG roles — let's connect!