Selected research, industry, teaching, and engineering experiences.
Worked on experimental validation for autonomous capsule robot navigation. My work involved Unity-based simulation and trajectory visualization, along with video- and sensor-based data used to compare commanded and observed robot behavior during experiments.
Supervised by Prof. Fangzhou Xia.
Worked with plant electrical-utility and engineering data to support energy analysis and operational reporting. I developed Python-based workflows for time-series processing and validation, identifying abnormal energy-consumption patterns, tracing loads to equipment-level sources, and reviewing potential energy-saving opportunities.
I also developed Power BI dashboards and reporting tools for recurring engineering and operational data, replacing parts of manual spreadsheet-based reporting with more consistent and accessible visual summaries.
Supported computational labs using Python, Google Colab/Jupyter, and PyTorch. I prepared reference materials and reusable examples covering linear regression, neural networks and deep learning, optimization, and reinforcement learning, including DDPG-based examples.
Worked on the design of a portable EV-charger enclosure, with exposure to practical engineering design and safety considerations for a Formula SAE electric vehicle.