Summary
Matt London is an AI/ML Engineer based in Boston with eight years of hands-on experience building and deploying computer vision, NLP, and generative AI systems across healthcare, industrial inspection, and research settings. He has led MLOps initiatives from model training through CI/CD and monitoring, integrating solutions into clinical workflows at Mayo Clinic and cutting customer service costs by over 60% with multimodal RAG systems. Skilled in sensor fusion, 3D vision, OCR, and fine-tuning LLMs for domain tasks, he also optimizes edge deployments (TensorRT, CUDA) and cloud-based pipelines on AWS/Azure. His background in bioimaging and neurobiology research informs pragmatic approaches to medical imaging and bioinformatics problems, where he has reduced reviewer workload and R&D costs dramatically. Known for shipping tools like ModelIQ and LiftPose, he combines production-grade engineering with research-driven innovation.
8 years of coding experience
6 years of employment as a software developer
San José State University
Master's degree, Bioimaging, Master's degree, Bioimaging at Boston University
English