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Full Stack Engineer with 7+ years in AI/ML, Cloud & Real-time Systems
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Senior AI Full Stack Engineer with 7+ years delivering production AI systems across healthcare, real estate, and fintech. Specialises in agentic LLM pipelines, multi-modal AI, real-time WebRTC/LiveKit infrastructure, and Physical AI for the medical domain. At Theoria Medical (2022-2026) led end-to-end development of AI-driven clinical tools—integrating IoT medical devices, voice/video AI agents, and AWS Bedrock-backed LLM services—that directly improved physician workflows and patient outcomes. Track record of scaling platforms from zero to enterprise with a consistent focus on latency, reliability, and regulatory compliance (HIPAA).
University of Iowa
B.S. Computer Science · Computer Science
August 1, 2014 – June 30, 2018
Theoria Medical
Senior AI Full Stack Engineer
August 1, 2022 – April 1, 2026
India
Agora
Full Stack Engineer
February 1, 2020 – July 1, 2022
India
Ellevest
Software Engineer
December 1, 2018 – January 1, 2020
India
Clinical AI Voice Co-Pilot
January 1, 2024 – June 1, 2026
LiveKit voice session -> Deepgram streaming STT -> GPT-4o/Claude Sonnet function-calling chain -> structured SOAP note -> FHIR write-back; <800 ms E2E latency at P95, deployed to 400+ physician users. Multi-modal context: lab results (JSON), radiology text (summarised), wearable vitals (time-series embeddings) fused into a single LLM context window with a custom context budget manager. AWS Bedrock private endpoint + PHI redaction preprocessing + per-session audit trail; passed HIPAA technical safeguards review.
IoT Medical Telemetry & Edge AI
January 1, 2023 – December 31, 2023
MQTT -> AWS IoT Core -> Kafka -> real-time Spark Streaming for 500+ devices; TFLite arrhythmia model on-device at 35 ms; digital twin per patient in Redis consumed by downstream LLM agents. Reduced ICU nurse alert fatigue by 34% through AI-ranked alert prioritisation; 20+ minute earlier deterioration detection vs. threshold-only baselines.
RAG Deal Intelligence Engine
January 1, 2022 – December 31, 2022
Semantic search over 10k+ deal docs with sentence-transformers + FAISS (built before LangChain/GPT-3.5 were available); cut analyst due diligence time by 60%.
Cultural Fit Analysis
The candidate's experience spans healthcare, real estate, and fintech, demonstrating adaptability and a broad interest in applying technical skills across diverse industries. Their work on AI-driven clinical tools, IoT medical telemetry, and deal intelligence engines showcases a proactive approach to leveraging cutting-edge technologies for real-world problems. The emphasis on compliance (HIPAA, SOC 2) and ethical AI development (PHI redaction, audit logging) aligns well with responsible innovation. The breadth of skills, from low-level edge AI to high-level LLM orchestration and full-stack development, indicates a versatile and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on delivering production-ready AI systems with a consistent emphasis on latency, reliability, and regulatory compliance. Their experience in leading end-to-end development and scaling platforms from zero to enterprise indicates strong project ownership, problem-solving, and operational excellence. The detailed descriptions of complex, multi-faceted projects suggest excellent communication skills in conveying technical architectures and business impact.