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Kevin Phan

@kevinphan4

Senior AI engineer and full-stack builder of HIPAA-compliant, agentic LLM applications for healthcare and SaaS.

United States
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What I'm looking for

I’m looking to build and own end-to-end AI product systems in regulated healthcare—agentic LLM + RAG solutions with strong reliability, observability, and deployment, partnering closely with clinicians and product teams.

I’m a senior AI full-stack engineer with 8+ years building AI-powered applications for healthcare and SaaS. I specialize in scalable, HIPAA-compliant systems that combine LLMs, agentic workflows, and RAG—delivered with production reliability in mind.

Most recently at Abridge AI, I developed an end-to-end healthcare platform with Python (FastAPI)/Node.js backend services and a React/TypeScript clinician-facing UI. I built secure REST APIs for PHI-compliant data exchange, designed multi-agent clinical workflows for automation, and created real-time voice-driven clinical agents using LiveKit, Deepgram, and ElevenLabs—along with evaluation frameworks and safeguards that reduced failures and improved reliability.

At Ambience Health, I built full-stack AI features end-to-end, including a voice AI receptionist, LLM-powered document summarization, and a context-aware chatbot grounded in retrieved patient context. I improved output reliability through prompt refinement, validation, and structured response formatting, reducing malformed responses and improving factual accuracy.

Previously at Zing Health and Google, I shipped enterprise and internal tools across the stack—building member-facing portals used by 20,000+ daily users, care coordination services for clinicians, and population health analytics pipelines. I bring a product-focused engineering mindset rooted in testing, debugging, observability, and cross-team collaboration.

Experience

Work history, roles, and key accomplishments

Abridge AI logoAA

Senior AI Full Stack Engineer

Abridge AI

Apr 2023 - Jun 2026 (3 years 2 months)

Developed an AI-powered healthcare platform end-to-end, including FastAPI/Node.js backend services and a clinician-facing React/TypeScript UI. Built multi-agent clinical workflows and real-time voice-driven clinical agents to automate scheduling, EHR updates, and documentation, reducing manual processing effort and workflow failures.

Ambience Health logoAH

AI Full Stack Engineer

Ambience Health

Apr 2022 - Mar 2024 (1 year 11 months)

Built full-stack AI features end-to-end, including Go microservices and Node.js (Express) backend services connecting clinical frontend tools to inference and data pipelines. Implemented a voice AI receptionist and LLM-powered document summarization and clinician query interfaces, improving output reliability and factual grounding.

Google logoGO

Software Engineer

Aug 2016 - Apr 2021 (4 years 8 months)

Built and shipped features for internal developer tools used across engineering teams, following production coding standards and code review practices. Contributed to integrations between C#/.NET services and Java-based internal systems on Azure and developed skills in web and ML-adjacent tooling.

Education

Degrees, certifications, and relevant coursework

Seattle University logoSU

Seattle University

Bachelor's Degree, Computer Science

2012 - 2016

Earned a bachelor’s degree in Computer Science at Seattle University from 2012 to 2016.

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