Cody Blevins
Integration Architect & Homelab Enthusiast
Marion, VA | Remote-friendly
About Me
I'm a hands-on integration architect with 10+ years in healthcare IT, specializing in event-driven systems, EHR APIs, and production-grade data pipelines. My professional work focuses on Python, cloud infrastructure (GCP/AWS), and building reliable, observable services.
Outside of work, I run a homelab where I experiment with local AI inference on AMD Radeon GPUs, build AI agent orchestration tools, and develop utilities that scratch my own itch. I'm particularly interested in making LLM inference more accessible on consumer hardware and exploring practical applications of AI agents.
This site showcases my personal projects, learnings, and experiments. Everything here is built for fun, learning, or solving problems I encounter in my own workflows.
Experience
Integration Architect / Developer
Clover Health (via Provisions Group)
- Built event-driven microservice for patient onboarding on Cloud Run with Pub/Sub push
- Created adapter/facade client for Athenahealth APIs with comprehensive CLI tooling
- Authored reusable Sphinx documentation framework reducing per-project config from 300+ LOC to ~20 LOC
Manager, API Product Support Engineering
athenahealth
- Managed cross-functional team delivering API integration support for global healthcare clients
- Improved response times by ~30% and achieved 100% SLA adherence through new case monitoring system
- Led technical projects including multi-site datacenter migration and disaster recovery planning
Software Engineer / Technical Consultant
Various (TEKsystems, PatientPal, Galen Healthcare)
- Built ETL pipelines and data integrations across healthcare systems
- Developed automation tools in C# achieving ~20% efficiency improvements
- Documented APIs with Swagger and consulted on integration strategies
Education
B.S. Biomedical Engineering
Computer Science concentration
University of Virginia, School of Engineering & Applied Science
Class of 2012
Thesis: EMR architecture and adoption in rural healthcare settings
Technical Skills
Languages & Frameworks
Python, TypeScript, C#/.NET, SQL/T-SQL, Bash, Flask, FastAPI, AngularJS
Cloud & Infrastructure
GCP (Cloud Run, Pub/Sub, Secret Manager), AWS, Docker, Kubernetes, Terraform
Data & Integration
REST APIs, HL7/FHIR, Snowflake, PostgreSQL, SQL Server, ETL pipelines
Homelab & AI
ROCm/AMD GPUs, LLM inference, AI agents, Proxmox, Home Assistant, self-hosting