Applied machine learning
High-impact models grounded in sound evaluation, optimization, and business context.
What I do
Making creative and innovative solutions from complex problems.
I work where mathematics, software, and responsible AI meet.
Enterprise AI systems
RAG, multi-agent workflows, intelligent documents, and Voice AI built for real operations.
Reliable delivery
End-to-end deployment, monitoring, governance, and cloud foundations across Microsoft Azure and AWS.
Learning constantly.
Building thoughtfully.
I am a Data Scientist specializing in scalable AI solutions and machine learning models that create measurable business value. My work bridges mathematical optimization and enterprise-grade delivery.
I graduated Magna Cum Laude with a BS Mathematics degree from the University of the Philippines Diliman. Away from work, I read books, I do running, I play badminton, and I personally reflect.
- Based in
- Metro Manila, Philippines
- Exploring
- Agentic AI · AWS · Azure
- Current goal
- Run 200 km this year
Selected work
View all workThings I build and maintain.
Supply Chain Inventory Optimization
Designed a Monte Carlo order-up-to policy for 90 DC–SKU pairs, modeling 26.6% less on-hand inventory while maintaining 97.9% unit fill.
Customer Segmentation
Segmented 908 customers across 42,676 transaction records into five actionable personas using Gaussian mixture modeling and PCA.
Campaign Response Classification
Built a soft-voting ensemble to prioritize campaign calls, with the top 20% of ranked customers capturing 73.1% of historical responders.
Personal Website
A static-export Next.js site for projects, data science, and coding notes deployed with Azure Static Web Apps.
LeetCode Solutions Tracker
A client-side GitHub integration that summarizes solved LeetCode problems from a solutions repository.
My shelf
Notes.
Personal learning notes from reading data science and programming books.