I am a Senior Healthcare AI Architect with 10+ years delivering full-stack, governed AI systems that solve physician burnout, trial enrollment delays, AI hallucination risk, and multimodal data fragmentation. At Tempus AI, I lead architecture and development of agentic LLM platforms and clinician-facing web applications adopted by 500+ oncologists. At AWS, I built HIPAA-compliant infrastructure blueprints and real-time compliance dashboards used across 200+ healthcare workloads. I have deep expertise in FHIR/HL7v2, genomic pipelines, full-stack development, and FDA/EMA AI safety. My work includes designing a governed RAG architecture (BioGPT/Med-PaLM 2) and delivering end-to-end clinician review UIs, reducing biomarker extraction time and boosting case throughput; architecting multi-agent orchestration (LangGraph) and a real-time clinician console now used by 500+ oncologists; and leading safety reviews with regulatory guardrails, achieving high precision/recall and enabling faster, safer drug development.

Andy Chu

I am a Senior Healthcare AI Architect with 10+ years delivering full-stack, governed AI systems that solve physician burnout, trial enrollment delays, AI hallucination risk, and multimodal data fragmentation. At Tempus AI, I lead architecture and development of agentic LLM platforms and clinician-facing web applications adopted by 500+ oncologists. At AWS, I built HIPAA-compliant infrastructure blueprints and real-time compliance dashboards used across 200+ healthcare workloads. I have deep expertise in FHIR/HL7v2, genomic pipelines, full-stack development, and FDA/EMA AI safety. My work includes designing a governed RAG architecture (BioGPT/Med-PaLM 2) and delivering end-to-end clinician review UIs, reducing biomarker extraction time and boosting case throughput; architecting multi-agent orchestration (LangGraph) and a real-time clinician console now used by 500+ oncologists; and leading safety reviews with regulatory guardrails, achieving high precision/recall and enabling faster, safer drug development.

Available to hire

I am a Senior Healthcare AI Architect with 10+ years delivering full-stack, governed AI systems that solve physician burnout, trial enrollment delays, AI hallucination risk, and multimodal data fragmentation. At Tempus AI, I lead architecture and development of agentic LLM platforms and clinician-facing web applications adopted by 500+ oncologists. At AWS, I built HIPAA-compliant infrastructure blueprints and real-time compliance dashboards used across 200+ healthcare workloads.

I have deep expertise in FHIR/HL7v2, genomic pipelines, full-stack development, and FDA/EMA AI safety. My work includes designing a governed RAG architecture (BioGPT/Med-PaLM 2) and delivering end-to-end clinician review UIs, reducing biomarker extraction time and boosting case throughput; architecting multi-agent orchestration (LangGraph) and a real-time clinician console now used by 500+ oncologists; and leading safety reviews with regulatory guardrails, achieving high precision/recall and enabling faster, safer drug development.

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Experience Level

Expert
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Language

Aragonese
Advanced
Javanese
Advanced
Bashkir
Advanced

Work Experience

Senior Software Engineer at Tempus AI
August 1, 2017 - Present
Led architecture of an agentic LLM platform and clinician-facing web apps; implemented streaming Real-Time Trial Matching Pipeline using Kafka and Flink and an internal monitoring dashboard (React/Node.js). Reduced insight time from 24 hours to 15 minutes, increased trial consent by 40%, and secured a $2M+ pharma partnership (8M+ records/day).
Senior Software Engineer at Amazon Web Services (AWS)
May 1, 2013 - September 1, 2022
Led migration of 200+ healthcare workloads to EKS/ECS with zero-downtime deployments; built internal orchestration tools (Node.js/React) that accelerated a top insurer’s release cycle from monthly to hourly, shortening time-to-market by 85%. Designed serverless, event-driven Remote-ICU platform (Lambda/Kinesis) handling 1M+/sec with real-time monitoring dashboards (Svelte/D3.js). Re-architected FHIR API backend with multi-region DynamoDB/PostgreSQL and caching, reducing claim adjudication latency to 1.2s and saving $150K/year. Created HIPAA/SOC2 infrastructure-as-code blueprint and a compliance portal used across 250+ HealthTech customers, slashing onboarding to under 2 hours and speeding sales cycles by 40%. Led security overhaul for PHI data lake achieving SOC 2 early and enabling $10M+ partnerships.

Education

Bachelor of Science in Computer Science at University of California, Berkeley
January 11, 2030 - January 1, 2013

Qualifications

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Industry Experience

Healthcare, Software & Internet