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Jason Hirshman

@jasonhirshman

I build production generative AI, distributed systems, and full-stack AWS platforms.

United States
Message

I've spent 10 years at Amazon Web Services building and operating production AI, distributed systems, and full-stack platforms. Most recently, I led generative AI capabilities for AWS Health AI and Amazon Bedrock, including RAG pipelines, evidence grounding, retrieval evaluation, and clinical-documentation workflows.

I improved retrieval relevance by 15%, reduced unsupported responses by 25%, and lowered p95 workflow latency by 28% through retrieval tuning, prompt refinement, asynchronous processing, and batching. I also built traceable citation and evidence-linking experiences across React, TypeScript, Python services, retrieval systems, and model-invocation workflows.

Across AWS Systems Manager Incident Manager, AWS Developer Tools, and Amazon Connect, I've delivered reliable full-stack products that improve incident response, test validation, performance, and operational workflows.

Experience

Work history, roles, and key accomplishments

AS

Senior Software Development Engineer

Jun 2023 - Jun 2026 (3 years)

Built and operated production generative AI capabilities for clinical documentation and knowledge discovery using AWS HealthScribe, Amazon Bedrock, and retrieval-augmented generation. Improved retrieval relevance by 15%, reduced unsupported responses by 25%, and lowered p95 latency by 28%.

Education

Degrees, certifications, and relevant coursework

Stanford University logoSU

Stanford University

Master of Science, Computer Science

2012 - 2016

Earned a Master of Science in Computer Science and a Bachelor of Science in Mathematics from Stanford University.

Tech stack

Software and tools used professionally

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