• Develop a high-fidelity multi-threaded HIL vehicle dynamics simulation in C using a bicycle model and torque vectoring to analyze and test a full perception, planning, and control pipeline.

• Engineer a 3D perception stack to process simulated LiDAR frames, sent via UDP, into point clouds with detection and classification algorithms like RANSAC ground plane removal and A-BIRCH for cone clustering.

• Implement a Stanley vehicle controller for trajectory tracking, migrating from previous pure pursuit approach.

• Create a baseline path planner calculating track centerline using Delaunay triangulation and cubic interpolation.

• Research advanced control, including LQR and MPC, and high-fidelity SLAM solutions using LIO-SAM.

Courses:

• Mechatronics Senior Design

• Microcontroller Systems

• Introduction to Digital and Micro Systems

• Automated end-to-end tax data pipelines with automated report generation/notification with MS Power Automate.

• Reduced daily data cleaning / processing time by 93% to 1.5 minutes, using Pandas and Python.

• Architected internal tax legislation research LLM + RAG system, with ChromaDB and LLaMA.

• Led effort to completely redesign and build a new website that was more stable and featured a modern new design.

• Reworked the workflow of uploading articles to the website for greater efficiency and a better user experience.