Medical Code Automation with Fine-Tuned LLMs
Fine-tuned an OpenAI foundational model and deployed it into a live enterprise environment to fully automate healthcare classification workflows
C#LLM APIsAI - Fine TuningSQL
Patrick Go
Software Engineer - Backend & AI
Building reliable systems and intelligent pipelines. Open to new opportunities.
About
I'm a backend and AI engineer with experience building distributed systems, data pipelines, and LLM-powered tooling for production environments. I care about reliability, observability, and keeping systems simple under the hood.
My recent focus has been on applied AI — specifically retrieval-augmented generation, structured output pipelines, and integrating language models into backend workflows.
Before that, I spent time on distributed data infrastructure: high-throughput ingestion, event-driven architectures, and API platform work. Placeholder content — real details coming soon.
Projects
Serverless PII/PHI Redaction Pipeline
Architected and deployed a serverless AWS pipeline to automatically redact sensitive healthcare data across enterprise systems, maintaining HIPAA/HITRUST compliance at scale.
AWSCloud ComputingC#Kubernetes
Foundational Model Evaluation & Benchmarking Pipeline
Led a 6-month enterprise AI partnership to architect a scalable benchmarking pipeline that systematically evaluated multiple foundational models to drive data-informed model selection.
PythonLLM APIsVector DBLangChain
