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Brady Chin

Mid-level AI/Robotics Engineer specializing in computer vision inspection and reinforcement learning

Milwaukee, WIField Engineer5 years experienceMid-LevelSemiconductorsIndustrial AutomationRobotics
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About

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.

Experience

Field EngineerViTrox America’s Inc.
Quality EngineerFoxconn Industrial Internet USA

Education

Colorado State University Globalmaster, Artificial Intelligence and Machine Learning
Milwaukee School of Engineeringbachelor, Mechanical Engineering

Key Strengths

  • Built a modular reinforcement learning training framework as sole developer
  • Designed configurable experimentation across multiple agents/environments via factory pattern
  • Reproducible evaluation using multi-seed validation and performance tracking
  • Hands-on simulation experience with PyBullet and Gymnasium/Box2D
  • Practical RL training monitoring and diagnostics using TensorBoard and structured logging

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Languages

English

Skills

Artificial Intelligence (AI)Machine LearningReinforcement LearningComputer VisionDeep LearningLarge Language Models (LLM)RoboticsRobotic Automation3D Robotics SimulationDefect DetectionVision InspectionMulti-angle Vision InspectionAdvanced Optical Inspection (AOI)Advanced X-ray Inspection (AXI)X-ray Inspection