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