MS CS (AI) @ UC San Diego | ML + GenAI Engineer 🤖 | Building agentic systems, multimodal ML, and healthcare AI 🌱
🎓 MS in Computer Science & Engineering (2024–2026) at UC San Diego
🧠 Graduate Researcher @ UCSD Health building multimodal ML pipelines (imaging + genetics + clinical data) + explainability (SHAP/XAI)
🤖 I like shipping GenAI systems: RAG, tool-calling agents, eval/guardrails, and graph-backed workflows
🌱 Exploring LLM post-training, RL for LMs, TinyML, and mixed-effects modeling
🎯 Open to collaborations + 2026 full-time roles (MLE / Applied AI / GenAI)
Languages
ML / DL
GenAI / Agents
Data / Visualization
Backend / Infra
Databases
Tools
- BlogPod: Podcast → structured blogs using LLMs + RAG, with retrieval, citations, and eval hooks
- MusiCRS: Conversational Music Recommendation benchmark + pipeline (entities, grounding, reproducibility)
- Visper: Voice-first RAG assistant for GitHub repos (chunking, retrieval, tool-calling workflows)
- AI Safety Protocol: Guardrails + eval suite for agentic systems (policy checks, red-team tests, reliability metrics)
- Owl Vocalization Detection Collar: TinyML model on microcontroller for real-time burrowing owl call classification
- Fire-Ready Forests Challenge 🏆 Hackathon Winner: Hierarchical ensemble pipeline for vegetation/tree classification in fire-prone ecosystems
- Asset Bubble 🏆 Hackathon Winner: Market crash prediction app with end-to-end modeling + dashboarding
- Automated Screening of Hip X-rays for Osteoporosis Using Machine Learning, Indian Journal of Orthopaedics (2024)
- Human Gait Recognition Using Cross-View Datasets with MobileNet, IEEE Xplore (2023)
- Gait Speed Based Individual Recognition Model using Deep 2-D CNN, IEEE Xplore (2023)
