Summary
Austin Lamb is a Senior Machine Learning Engineer and consultant with eight years of experience building secure, reliable, and scalable ML models and cloud-native microservices. He combines research-grade computer vision work—including a patented CNN for gastrointestinal assessment—with hands-on platform engineering, delivering production LLM APIs, multi-tenant Kubernetes operators, and resilient ETL pipelines. Comfortable across Python, PyTorch, TensorFlow, Docker, GKE/GCP, and CUDA C++, he has repeatedly cut development time and improved model performance in clinical and defense contexts. Austin has led migrations and on-call cluster ops, triaged distributed system latency, and mentored students into research roles, showing both technical leadership and cross-functional collaboration. He tends to bridge the gap between prototyping and production—prototyping chat agents with Llama/RAG one week and hardening CI/CD and Kyverno policies the next. Based in Los Angeles with an MS in Computer Science from USC, he pairs academic rigor with a demonstrated ability to ship impactful ML systems.
8 years of coding experience
6 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at University of Southern California
High School Diploma, High School Diploma at Mira Costa High School