Summary
Sheldon P is a software engineer specializing in machine learning and full-stack systems, with nine years of hands-on experience and a BS in Computer Science from the University of Maryland. He has shipped large-scale ML infrastructure at Meta—deploying an audio tempo pipeline that processed ~2M songs/day and boosted end-to-end accuracy to 83%—and built production web and DevOps tooling at AWS and Oracle. His work spans backend APIs, cloud-native deployments, and frontend modernization, plus practical ML research including VLM benchmarking and audio classification that raised vocalization accuracy from 70% to 90%. As co-executive director of Hack4Impact-UMD he led 130+ volunteers and forged partnerships with Microsoft, Uber, and Bloomberg to deliver free software for nonprofits. He combines production engineering rigor (automated deployments, high test coverage) with research curiosity, often solving tricky GPU/quantization and data-distribution issues. Based in San Francisco, he’s motivated by using technology for social good and welcomes collaborations that scale impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Maryland
High School Diploma, Engineering Program, High School Diploma, Engineering Program at Eastern Technical High School
Spanish