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 recently graduated from Carnegie Mellon University with a major in Electrical and Computer Engineering and a minor in Computer Science. Currently, I'm at Stripe in San Francisco π building the future of in-person payments with Tap to Pay.
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. Most recently, I've been very excited about breakthroughs in the AI/LLM space and I'm keen to see how it changes 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.
- Built a first-of-a-kind CI testing framework for the Stripe Terminal Readers, emulating the physical readers with Android on CI for automated testing
- Fixed flakiness on CI that two engineers tried to solve unsuccessfully over the past 12 months, improving reliability of a core test suite from 80% to 100%
- Drove collaboration across 5 teams to scope out a key problem in the development of future emulator tests, identified potential solutions, and determined concrete steps for the fix
- Created various developer productivity improvements such as emulator crash detection, concurrent log streaming, and faster failure detection, bringing down the time required for failure detection from 1 hour to 20 minutes
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.