🎓 Mechanical Engineering Student, University of California, Davis
🎯 Career Targets: Automatic Control Engineer, AI/ML Engineer (Applied), Mechanical Engineer
I am a Mechanical Engineering student at UC Davis who builds practical systems at the intersection of control, mechatronics, and AI-based computer vision. My work focuses on designing reliable engineering workflows that can be used in real operating environments, from embedded control logic to data-driven detection pipelines.
Repository: Class-Project
Built a microcontroller-based control system that automates padlock dialing through keypad input and motor actuation.
- Implemented multi-mode operation architecture (setup, automatic, manual)
- Developed lock-sequence logic for directional turns and dial-position tracking
- Added serial-monitor human-machine interface for mode prompts and error handling
- Explored controller tuning parameters for motor behavior under varying friction conditions
Technical Stack: C++, Arduino-style embedded control, keypad I/O, motor control logic
Repository: Fish-Counter
Developing a non-invasive fish counting workflow to support high-throughput fish transfer operations in conservation settings.
- Built an end-to-end workflow for labeling, training, testing, and live inference
- Used YOLO-based detection workflow for fish detection/counting in video streams
- Designed for practical deployment constraints (bubbles/debris, semi-turbid water, field-like use)
- Added reproducible setup and operational modes for iterative model improvement
Technical Stack: Python, OpenCV, Ultralytics/YOLO, dataset tooling, model training/testing scripts
Repository: yusenhu
Maintaining a professional documentation hub to present engineering project outcomes, technical growth, and career focus areas for recruiters and collaborators.
I am currently improving experience in:
- Control systems implementation and tuning for electromechanical systems
- Applied AI for real-world sensing/monitoring problems
- Robust project documentation and reproducible engineering workflows
- Cross-domain integration: mechanical systems + embedded control + software
- Control & Mechatronics: Feedback logic, actuator control workflows, state/mode-based system design
- AI / Data: Computer vision workflow design, model training iteration, validation-oriented development
- Programming: Python, C++
- Engineering Workflow: Experiment iteration, troubleshooting, technical documentation, Git/GitHub collaboration
University of California, Davis
B.S. in Mechanical Engineering
- 📧 Email: hyshu@ucdavis.edu
- 📱 Phone: 530-750-9956
- 🏫 School: UC Davis