Professional Overview
Patrick is an electronics engineer who is highly passionate about Data Science. During his undergraduate years, he took up electives and conducted projects in instrumentation & control systems, general machine learning and deep learning. He is also an Eskwelabs Data Science Fellowship graduate and currently a part time mentor for their Data Science Fellowship program.Patrick is mainly interested in exploring the intersection of FinTech and the data science industry. After a brief stint as an Analyst at MSCI's financial markets data team, he is now currently a machine learning engineer at Mynt - the company behind the top FinTech application in the Philippines.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
