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Jeffrey Fermon

@jeffreyfermon

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Senior full-stack engineer building agentic AI and HIPAA-compliant healthcare systems at scale.

United States

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What I'm looking for

I’m looking to build agentic AI and healthcare systems end-to-end—HIPAA-ready, secure, and high-throughput—while partnering across teams. I want roles where AI governance, observability, and fast iteration are core.

I’m a Senior Software Engineer with 14 years shipping production systems at Amazon and Raytheon. I build full-stack, agentic AI solutions for healthcare that prioritize performance, safety, and compliance—delivering zero HIPAA findings in the 2023 audit cycle.

At Amazon Pharmacy, I led the agentic LLM adherence assistant using LangGraph, MCP, and AWS Bedrock, cutting missed refills 25% and reaching 92% clinical appropriateness. I also reduced LLM token cost 40%, standardized AI governance via LangSmith and RAGAS pipelines, and engineered high-throughput APIs handling 10M+ daily transactions with p99 under 50ms.

I’m equally comfortable across React and Next.js frontends, Spring Boot and FastAPI backends, and data layers spanning PostgreSQL, DynamoDB, Redis, and pgvector. As a trusted mentor and cross-team technical lead, I focus on observability, security (AWS KMS, IAM), and resilient infrastructure on AWS EKS to sustain 99.9% uptime at scale.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Amazon

Jun 2020 - Present (6 years)

Built an agentic LLM adherence assistant that cut missed refills 25% and achieved 92% clinical appropriateness for Amazon Pharmacy, while implementing LLM eval pipelines and safety guardrails used across multiple teams. Engineered RxPass backend and scalable data pipelines handling 10M+ daily transactions with sub-50ms p99 latency and reduced PostgreSQL/DynamoDB p99 from 200ms to 50ms under peak l

LangGraph Langsmith Ragas Spring Boot fastAPI Kafka PostgreSQL DynamoDB React Next.js

Senior Software Engineer

Raytheon

Jan 2012 - Jun 2020 (8 years 5 months)

Integrated C# microservices with SAP R/3 to automate 10,000+ daily transactions at 99.9% reliability and onboarded 100+ defense contractors via secure REST/GraphQL APIs using OAuth2 and JWT for DFARS/FAR compliance. Designed event-driven architectures with Kafka/RabbitMQ and built Python ETL pipelines with MongoDB, cutting manual reconciliation 50% and improving data accuracy 30%.