Forsad Al Hossain is a Machine Learning Engineer with a decade of experience building production-grade ML systems, currently focused on AI agents and recommendation systems at Stripe. He combines deep research credentials—Ph.D. work at UMass Amherst on contactless COVID prediction and a Best Paper-winning FluSense platform—with hands-on systems engineering from C++ low-level optimization to large-scale data pipelines. His background spans multimodal emotion detection and personalized recommendation work at Amazon Alexa, optimized ASR and quantized DNNs at speech startups, and production model deployment using Flyte and Spark. Comfortable moving from sensor-hardware research to high-throughput production, he seeks innovative startup roles where applied ML meets real-world impact; he is also a U.S. permanent resident under EB2-NIW.
10 years of coding experience
3 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at University of Massachusetts Amherst
Bachelor of Science (B.Sc.) Electrical and Electronic Engineering, Bachelor of Science (B.Sc.) Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology
Contributions:16 PRs, 19 pushes, 10 branches in 1 year 3 months
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Forsad Al Hossain - Machine Learning Engineer at Stripe