Hi! I'm Gram and I love building things, from web to mobile to IoT. I grew up in Cebu, Philippines where I attended the Philippine Science High School. I graduated from Carnegie Mellon University with a major in Electrical and Computer Engineering and a minor in Computer Science. I was previously at Stripe where I worked on Tap to Pay. Today, I'm at Decagon in San Francisco 🌉 building enterprise-grade AI agents for customer support.
I'm a big fan of technology and how it revolutionizes the way we tackle everything from payments to education, consistently pushing the boundaries of what we think is possible. I'm particularly interested in recent breakthroughs in AI and how they're set to change the way we build, create, and learn.
Outside of tech, I also love to cook! I try to do the food justice by honing the art of food photography over on @gram_cooks.
- Lead engineer for Tap to Pay on iPhone, enabling merchants to accept card payments using just their phones
- Grew Tap to Pay on iPhone domestically and into 5 new international markets, including adding support for the Interac network in Canada
- Built first-of-its-kind anomaly detection and on-device testing infrastructure for Stripe Terminal, automatically improving reliability across all our product surfaces
- Developed new features across our Android and iOS SDKs, improving performance in high-latency environments
- Supported networks, partners, and strategic users in identifying various integration and launch-blocking issues. Independently scoped and rolled out fixes generalized to the rest of our users
- Increased Tap to Pay on Android connection speed by 60% by identifying and resolving key concurrency issues
We built a platform to improve political literacy and accountability in the Philippines. We used the Google Cloud Vision SDK, Pegasus, and BERT to scan and summarize PDF bills from the Philippine Congress. We also scraped members of legislation and built profiles based on activity and semantic tags of authored bills.
Web app that aggregates CCTV footage from parking lots near you to find available parking spots using computer vision.