San Jose State University | B.S. Computer Science | 4.0 GPA - Summa Cum Laude
Production-grade iOS fitness tracker powered by real-time sensor fusion and on-device ML classification
✅ 85% activity classification accuracy (CoreML model) | 50% route accuracy improvement via Kalman Filtering | GPS + accelerometer + gyroscope fusion | On-device inference (no cloud dependency)
Multi-agent AI trading system with 8 collaborative AI agents
✅ 37% better decision quality | 55% cost reduction | 4× faster execution (0.6s) | 99.9% uptime
ML-powered waste classification using CNN-based ResNet-50
✅ 98% accuracy | 5+ waste types | Flask backend | Kaggle dataset integration
Real-time messaging app with ChatGPT-4.0 bot integration
✅ WebSocket | Prisma | GraphQL API | 3D UI with Three.js
Robotic puzzle solver with computer vision & A* pathfinding
✅ 2 second max solve time | 70% search space reduction | 100% accuracy
Full-stack cryptocurrency tracking platform
✅ CoinGecko API integration | Real-time data | MySQL backend
3D FPS game with AI-controlled enemies
✅ Unreal Engine 5 | Dynamic particle effects | Autonomous AI
Software Engineer | May 2024 - Present | San Jose, CA
- 🎯 Built AI-powered PLM platform serving 800+ global enterprise clients (LVMH, Hermès, Balenciaga, Uniqlo, Starbucks, Under Armour)
- ⚡ Optimized query response times by 7x-20x, supporting 5,000+ concurrent users
- 🚀 Developed lightweight archiving pipeline — 60% faster queries and reduced storage
- 🧵 Built multi-threaded query acceleration — 60% speed improvement
- 📊 Optimized recursive lookups with precomputed filters — 90% faster
- 🔧 Technologies: Java, Python, JavaScript, React.js, Spring Boot, Kafka, SQL Server, Jenkins, Docker
Software Engineer Intern | Jun 2023 - Sept 2023 | Seattle, WA
- 📈 Designed multi-agents econometric simulations for 80+ e-commerce stores
- 🎯 Achieved 70% predictive accuracy modeling financial dynamics
- 🔧 Technologies: Python, PyMC, PyTensor, NumPy, SQL Server, Machine Learning
