AI / Machine Learning Engineer
Open to Remote Opportunities
📧 alexchong59@outlook.com
🔗 LinkedIn
💻 GitHub
AI Engineer with hands-on experience building production-grade machine learning systems and deep learning models.
Strong focus on:
- Time-series forecasting (ARIMA, CatBoost)
- High-dimensional data modeling (36k+ features)
- End-to-end ML pipelines and real-world deployment
Ranked Top 0.3% (26 / 11,000+) in a global AI competition.
Languages
Python, SQL
Machine Learning
CatBoost, Scikit-learn, TensorFlow, PyTorch
Time Series
ARIMA, Forecasting
Deep Learning
Conditional Variational Autoencoder (CVAE)
Data Tools
Pandas, NumPy, Matplotlib
Deployment
FastAPI, Docker (basic)
Other
Git, Linux, REST APIs
Nori Malaysia | Apr 2023 – Dec 2025
- Built and deployed demand forecasting models using ARIMA and CatBoost
- Designed end-to-end ML pipelines (preprocessing → training → evaluation)
- Improved forecasting accuracy using seasonality and trend modeling
- Worked with business teams to turn predictions into actionable decisions
- Combined ARIMA + CatBoost for improved prediction accuracy
- Built scalable pipeline for real-world e-commerce data
- Focused on reliability and production usability
- Ranked 26th / 11,000+ (Top 0.3%)
- Built CVAE model to predict 36,601 gene expression values
- Applied Incremental PCA for dimensionality reduction
- Improved generalization on high-dimensional data
- Real-world AI applications (e-commerce, biotech)
- High-dimensional data problems
- LLMs, AI agents, and production AI systems
- MLOps and scalable ML infrastructure
- Exploring LLM applications and AI agents
- Improving full-stack + ML system design
- Open to remote AI/ML roles