Mid-level AI/Robotics Engineer specializing in computer vision inspection and reinforcement learning
Brady already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
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Post-graduate, self-directed robotics/RL practitioner who independently built a modular reinforcement learning training framework in Python using Stable-Baselines3, Gymnasium, and PyTorch. Emphasizes reproducible experimentation (multi-seed validation), simulation (PyBullet/Box2D), and systematic comparison of algorithms/environments via a factory-pattern architecture.
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