Define architecture for computer vision, VLM, and VLA systems; train, fine-tune, evaluate, optimize, and deploy models on cloud GPUs and edge hardware. Build labeling, active-learning, synthetic-data, and monitoring pipelines, while managing latency, memory, cost, and production reliability. Lead technical projects, make research-to-product decisions, review designs and code, mentor engineers, and collaborate across engineering, research, and product teams.