About Me
I am a Computer Science student at UC Davis (GPA: 3.9/4.0) with expertise in system architecture, machine learning, and full-stack development. Led projects in decentralized bookkeeping, machine learning, and game development. Skilled in React, Node.js, Vue.js, and Python. Published in the 2024 MLSCM Conference on deep learning integration for object detection.
Education
- GPA: 3.9/4.0
- GRE: 339
Experiences
- Integrated Vue.js and Spring Boot for enhanced UX/UI and performance
- Boosted YOLOv3 image recognition accuracy through curated datasets
- Established Prometheus-based system monitoring with Grafana
- Assisted students with programming assignments and collaborative study sessions
- Graded assignments and provided feedback to improve problem-solving skills
Projects
ResCash
- A decentralized bookkeeping app with React and Node.js
Chinese Handwritten Digit Classifier
- Achieved 95% accuracy on a 15,000-sample dataset using Logistic Regression and Neural Networks
BlackJack Brawl
- A strategic card game blending blackjack mechanics and unique card effects
Cat Breed Classification
- A ML Classifier using YOLOv5 and VGG16, achieving 87% accuracy across five breeds
Linux Server
- A self-hosted Linux server with advanced system configurations and security protocols
Publications
2024 International Conference on Modern Logistics and Supply Chain Management (MLSCM 2024), Oct 2024