Saquib Khan is a Senior Software Engineer at Meta with a decade of experience building production ML-driven systems and data pipelines. He combines a solid academic foundation from Stony Brook University and Jamia Millia Islamia with hands-on work in NLP, recommendation systems, and automation—ranging from encoder-decoder QA models in research to a deployed SEC datapoint extraction pipeline. At Broadridge he automated large-scale extraction workflows, built custom NLP tooling (bs4/Spacy extensions), and shipped monitoring dashboards, demonstrating an emphasis on observability and model drift detection. Now at Facebook in Menlo Park, he focuses on scaling robust solutions in a high-impact environment while continuing to bridge research and engineering. Colleagues would describe him as a practical problem-solver who turns experimental models into maintainable production services.
10 years of coding experience
B.tech Computer Engineering, B.tech Computer Engineering at Jamia Millia Islamia
Kendriya Vidyalaya Sangathan
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
Contributions:25 pushes, 1 branch in 1 year 5 months
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