Summary
Matthew Struble is a Staff/Principal ML engineer with 11 years of experience building and scaling AI/ML systems from research prototypes to production-grade deployments. He has led GenAI and LLM model training, fine-tuning, and serving pipelines (including SAM2, GroundingDino, and CLIP), and built monitoring, debugging, and developer tools that materially reduced failures and time-to-production. Skilled in cloud migrations (AWS SageMaker), PySpark optimization, and reusable infra (Terraform, standardized Python packages), he bridges research and engineering to create reproducible, reliable ML workflows. A hands-on leader, he mentors teams, runs Communities of Practice, and authors MLE/SWE best practices that accelerate onboarding and raise engineering standards. Based in Boston, he brings aerospace and mission-critical software experience to high-throughput ML systems, giving him an uncommon focus on reliability and real-time data integration.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Game Programming Minor in Mathematics, Bachelor of Science (B.S.) Game Programming Minor in Mathematics at Champlain College
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
General Education, General Education at Emmaus High School