At RAISC, I engineered an end-to-end AI therapy workflow connecting patient onboarding, intake, conversational sessions, therapist review, and follow-up actions. I also developed LLM orchestration pipelines with contextual memory, retrieval-augmented generation, and guardrails.
I implemented risk assessment, sentiment and intent analysis, crisis detection, escalation routing, and human-in-the-loop validation. I also built session summaries and insight-extraction workflows that turn chat transcripts into therapist-ready notes and structured clinical metadata.
At SPORTS MEDIA INC., I contributed to the Phone AI Project, developing a voice-enabled agent using NLP, LLM orchestration, prompt engineering, and retrieval-augmented generation. I ingested enterprise data into ChromaDB, enabling responses to 1,000+ weekly queries.
For my final-year project, I built an AI-powered mental health chatbot using Llama 3.3, ChromaDB, LangSmith, and LangGraph. My other projects include a driver monitoring app using OpenCV and TensorFlow, an AI agent simulation, and a content-based movie recommendation system.
