- 🎓 M.S. Computer Science @ Northeastern University, graduating 2027
- 🔬 Researching at the intersection of AI × Healthcare and AI × Education
- 🏥 Building LLM-powered clinical documentation systems for real-world medical workflows
- 📚 Exploring intelligent tutoring and personalized learning with large language models
- 🌱 Currently diving deep into LangGraph, RAG pipelines, and multimodal AI
Developing ambient clinical documentation systems that automatically generate structured SOAP notes from physician-patient conversations using RAG pipelines, multi-agent LangGraph workflows, and local LLMs. Focus on accuracy, latency, and real-world clinical reliability.
Exploring how LLMs can power adaptive learning experiences — personalized tutoring agents, automated feedback systems, and intelligent curriculum design that responds to individual student needs.
Ambient clinical documentation powered by LangGraph · FAISS · Qwen 2.5 · Whisper
A full-stack AI system that turns physician-patient transcripts (text or audio) into structured SOAP notes with ICD-10-CM coding, medication validation, and clinical risk flagging.
- 🧠 Multi-agent LangGraph pipeline with parallel ICD audit, medication review, and risk detection nodes
- 🔍 MMR retrieval over FAISS vector store grounded in clinical guidelines
- 🎙️ Whisper ASR for real-time audio transcription
- ⚡ Redis caching + Prometheus monitoring
- 🌐 React chat-style frontend with streaming updates
Languages
AI / ML
Backend & APIs
Frontend
Databases & Vector Stores
DevOps & Tools
