Yashi Garg

I’m an AI-focused software engineering intern specializing in building end-to-end systems that turn real-world signals into reliable, structured outputs. At Murphi.ai, I’ve led ownership of an Ambient AI clinical documentation platform—architecting backend, web, and mobile components for 4 healthcare domains and 32 standardized medical report types—by designing an audio → transcription → LLM → structured output pipeline that generates SOAP, OASIS, SN, PT/OT/ST, and H&P aligned with US healthcare workflows.

I also emphasize scalable data modeling, production-grade APIs, and compliance-by-design. I built and deployed 10+ RESTful APIs (Node.js/Next.js) across microservices, consolidated 30+ report variations into a Canonical Clinical Data Model (CCDM) with 60 normalized fields, and implemented consent-gated recording with traceability and HIPAA-aligned auditability. Outside my internship, I’ve built a full-stack Code Review Assistant using FastAPI and ML (AST-based call graph modeling and supervised learning), and I’m a Keploy API Fellowship Top 0.99% fellow and HackVega Hackathon 2025 finalist among 32,000+ students.