Security and privacy research, built for real systems.

At Microsoft AI, I build enhanced page features and web document features that improve how models ground on the open web. I also work on URL normalization and related platform capabilities that reduce duplication, improve resource efficiency, and strengthen product quality.

At Microsoft, I worked on location intelligence systems for advertising, redesigning an offline pipeline in Azure Data Lake to improve recall by up to 50% and increase downstream impact. I also shipped a C++ online serving path and partnered with the Bing Maps team on reverse geocoding, reducing compute cost by 87% while increasing coverage by 25%.

At Google Cloud, I explored GPU virtualization strategies for machine learning acceleration and built a C++ performance projection tool to estimate remote GPU latency and bandwidth with lower simulator overhead. I also helped drive a protocol buffer dependency migration that reduced maintenance friction and improved internal developer workflows.

At KalPay, I led engineering for a BNPL platform, defining the product architecture and guiding execution across the merchant, consumer, and admin applications. The role combined early-stage product thinking with hands-on delivery across the company’s core fintech stack.

At Technologies of People Initiative Lab, I built research prototypes and data systems for applied computing projects, translating exploratory ideas into usable systems. My work spanned full-stack implementation, experimentation, and technical support for the lab’s broader research agenda.