Summary
Daoud Piracha is an applied ML engineer and founder based in Cambridge, MA with 8 years of experience building production-grade AI systems that span computer vision, satellite imagery, and social-impact applications. He has led 0→1 product development—most recently launching a stealth startup supported by Harvard Innovation Lab and MIT Sandbox—and contributed to MILA projects including an IBM XPRIZE-winning submission. His work blends research rigor (MILA, MIT Media Lab) with practical engineering: deploying vision transformers, CLIP, weakly supervised and few-shot methods to improve data efficiency for real-world programs such as fraud detection and urban socio-demographic analysis. Earlier roles include engineering embedded medical devices and delivering backend ML for Fortune 100 insurers, reflecting a rare mix of hardware, systems, and ML production experience. He often focuses on interpretability and learning from limited or aggregated labels, enabling models to surface actionable insights for social welfare and conservation. Comfortable moving between research and product, he pairs strong academic roots with a track record of shipping measurable impact.
8 years of coding experience
8 years of employment as a software developer
Visiting Student Researcher Computational Social Science, Visiting Student Researcher Computational Social Science at Massachusetts Institute of Technology
Bachelors Mathematics and Computer Science, Bachelors Mathematics and Computer Science at McGill University