🎓 UC San Diego Graduate
📊 Major: Data Science | 📈 Minor: Business
💼 Current: Data Scientist @ OOCL
🌐 Passionate about combining data engineering, ML modeling, and business insight to create scalable, intelligent systems.
- Languages: Python, SQL, HTML, CSS
- Frameworks: PyTorch, Scikit-learn, Dask, Spark, NIXTLA
- Tools: Git, Docker, MLflow, Jenkins
- Concepts: Machine Learning, Deep Learning, Generative AI, Timeseries Forecasting, CI/CD
- Cloud/Data: Databricks
An ML-driven short-term options trading system leveraging Polygon.io's minute data and technical indicators.
- Built a full pipeline: ingestion, feature engineering, labeling, model training, and backtesting
- Tools:
sklearn,joblib,Polygon.io,APScheduler - Strategies: SMA/RSI/MACD + Random Forest + Ensemble Voting
Uses computer vision to identify components of a base in a game called Rust through Mask R-CNN
- Calculates the amount of explosives you need in game to completely destroy the base
- Tools:
Pytorch,pillow,Roboflow
Capstone Project where we created a mock NFT market that transacts in real estates
- Complete mock back to front deployment on the ERC-721 network
- Tools:
Solidity,Hardhat,HTML,CSS,Typescript,React
🔗 Code GitHub Repo
🔗 Information Website GitHub Repo
- 📧 Email: lai.myron@gmail.com
- 📞 Phone: +1 (858) 888-2268
- 📞 Phone: +852 5401-3919
- 💼 LinkedIn: linkedin.com/in/myronyllai/
- 📄 View My Resume
- I'm a firm believer in clean code and reproducible research
- Always curious — currently learning about LLM fine-tuning and vector search
- I am a huge fan of Ultimate Frisbee, completing at national levels
💡 “Turn data into action, and insight into innovation.”