Open to opportunities

Michael Garner

@michaelgarner

Message

Senior full‑stack engineer specializing in backend systems and AI-enabled platforms.

United States

Message

What I'm looking for

I seek senior engineering roles building scalable, secure backend and AI-integrated platforms, collaborating cross-functionally to deliver measurable performance and reliability improvements.

I am a senior full‑stack engineer with deep backend expertise building AI-enabled underwriting and marketplace systems. I design and implement robust, API-first services in Python (FastAPI), Ruby on Rails, and Node.js, and integrate LLMs, document intelligence, and agentic automation to make outputs explainable and auditable.

I partner closely with frontend teams (React/TypeScript) to deliver high-throughput workbenches, improve performance and scalability through microservices and containerization, and ensure secure, tenant‑isolated deployments on cloud platforms. I have delivered measurable improvements in reliability, latency, and operational efficiency across enterprise and marketplace environments.

Experience

Work history, roles, and key accomplishments

Current

AI Senior FullStack Engineer

Current

Sixfold

Jul 2023 - Present (2 years 6 months)

Led backend development of underwriting AI services and an API-first platform in Python (FastAPI), improving ingestion, document intelligence, and reproducible AI outputs to enable secure, auditable underwriting workflows for enterprise customers.

Python fastAPI Pydantic React TypeScript API Design Authentication

Senior Backend Engineer

eBay

Dec 2016 - Jun 2023 (6 years 6 months)

Re-architected marketplace services into microservices, improving performance and scalability ~50%; built containerized deployments on AWS, asynchronous notification services, and integrated LLM-based enrichment to improve decisioning.

Ruby on Rails Python AWS Docker GraphQL OpenAI API Oracle CI CD Monitoring

Software Developer

ProductiveEdge

May 2015 - Nov 2016 (1 year 6 months)

Engineered a microservices architecture with Rails and Flask, improving API response times ~40%; owned PostgreSQL modeling, introduced Elasticsearch and Redis caching, and containerized deployments to GCP.