From training pipelines to production agents. Two decades of machine learning, distributed systems, and technical leadership.
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VLAs go straight from camera input to motor control. One model, no perception stack, no hand-coded planner. But the training infrastructure that worked for LLMs doesn't transfer.
This series covers what's different and what to build - from data pipelines through evaluation.
Twenty years building AI systems - from early computer vision and machine learning through the current wave of LLMs and autonomous agents.
Field engineer at Anyscale, the company behind Ray - working with robotics and autonomous vehicle teams on production AI infrastructure.
Independent AI consulting and Co-Active certified coaching for technical leaders and engineering teams.