About Me
I'm a junior at the University of North Carolina at Chapel Hill pursuing a double major in Computer Science and Statistics & Operations Research. With a GPA of 3.93, I'm passionate about leveraging technology to solve complex problems, particularly in the areas of artificial intelligence, computer vision, and financial technology.
My interests span from developing AI-powered sports analytics systems to working on autonomous vehicle safety systems. I enjoy tackling challenging projects that combine theoretical knowledge with practical applications. When I'm not coding, I'm exploring the latest developments in machine learning and seeking opportunities to apply data science techniques to real-world problems.
Relevant Courses
COMP 426
Modern Web Programming
COMP 562
Machine Learning
COMP 301
Foundations of Programming
COMP 311
Computer Organization
COMP 421
Files and Databases
STOR 455
Methods of Data Analysis
STOR 320
Introduction to Data Science
STOR 435
Probability Theory
Technical Skills
Programming Languages
Tools & Frameworks
Featured Projects
Tactical-View AI: Soccer Analytics
- Engineered an end-to-end AI pipeline in Python and PyTorch to analyze full-length soccer matches, automatically generating and exporting player-specific highlight clips.
- Implemented a ResNet-18 scene classifier to automatically filter non-match footage(e.g., replays, audience), ensuring analysis was performed exclusively on relevant gameplay.
- Fine-tuned a YOLOv8 object detection model on a specialized dataset to accurately identify players, referees, and the ball, overcoming the limitations of pre-trained models. Integrated ByteTrack to assign persistent IDs for robust multi-object tracking through occlusions.
- Calculated real-world performance metrics by first compensating for camera movement with Optical Flow. Subsequently, implemented an automated perspective transformation using a YOLOv8 keypoint model to generate a Homography matrix, enabling the conversion of player positions to meter-scale coordinates for accurate speed and distance tracking, visualized in a final 2D radar view.
Autonomous Vehicle Safety System
- Developed a kinematic model and obstacle avoidance system for a self-driving car-trailer to enable autonomous trajectory planning.
- Designed and implemented a hybrid optimization strategy in MATLAB and iSight, combining a Genetic Algorithm (GA) with Successive Quadratic Programming (SQP) to significantly reduce computation time while ensuring path safety.
- Co-authored and published the complete methodology and findings in the paper, "Tracking and Safety Control for Car-Trailer System with Optimization", presented at the ICHSSR 2022 conference.
Professional Experience
Wealth Management Intern
- Researched and evaluated a diverse range of financial products and services, from mutual funds to sophisticated High-Net-Worth Individual solutions like family trusts and global investment platforms.
- Conducted fundamental analysis on target equities using valuation models, including the Dividend Discount Model (DDM), to identify potential undervalued investment opportunities for client portfolios.
- Collaborated within a team in the Wealth Management division to develop and present a final capstone project: a comprehensive asset allocation proposal for a model client, synthesizing insights from market analysis, product research, and simulated trading exercises.