Summary
Blake Chambers is a Machine Learning Engineer in Boston with 10 years of experience building robotics, automation, and large-scale systems and now focuses on ethical, transparent AI. He combines hands-on expertise in C++, Python, ROS, and high-performance .NET services with a track record of shipping production-grade robotics and warehouse automation at Vecna and Symbotic. As CTO/cofounder at Chia Learning he led an end-to-end speech-to-speech LLM-driven language tutor and integrated lifelike virtual personas, demonstrating product-focused ML delivery. Blake brings engineering rigor to AI safety work—contributing to red-teaming, risk frameworks, and mission-driven LLM applications—so his systems emphasize both power and trustworthiness. A former MIT avionics lead, he often surfaces pragmatic constraints from embedded and real-time systems when designing responsible AI.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS) Aerospace Aeronautical and Astronautical/Space Engineering, Bachelor of Science (BS) Aerospace Aeronautical and Astronautical/Space Engineering at Massachusetts Institute of Technology