Summary
Ammar Husain is a Senior Engineering Manager based in New York with nine years of experience building large-scale ML and data systems across startups and Big Tech. He progressed from founding engineer to Head of Engineering at Hebbia, leading teams that ship production search and ranking infrastructure after prior roles at Meta, Salesforce, Snap, and Facebook focused on real-time integrity systems, video understanding, and toxicity modeling. Ammar combines hands-on full-stack development with expertise in parallelized training pipelines and distributed data processing—having worked on pipelines for over 1.5 million videos and clustering at 500 million-user scale. He has a strong research-to-product thread, starting with large-scale semantic analysis at Purdue and extending to building production-quality ML systems. Known for bridging research and engineering, he thrives on turning complex data problems into robust, operational services.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Purdue University