Mrinal Roy is an AI Engineer II based in Chicago with 12 years of software engineering experience and an MS in Computer Science focused on ML. He builds scalable, production-ready systems at the intersection of software engineering, AI/ML, and DevOps, recently moving from applied ML roles at Coyote Logistics to enterprise AI work at Kirkland & Ellis. His background includes research at Argonne National Laboratory on model vs. data parallelism for exascale training and designing IoT architectures during his graduate work, reflecting a blend of systems thinking and applied research. Comfortable spanning research, model development, and deployment, he has a track record of turning complex ML problems into reliable engineering solutions. An early web developer and freelancer, he brings practical full-stack experience to large-scale ML systems and operations.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS Computer Science & Engineering, Bachelor of Science - BS Computer Science & Engineering at National University, Bangladesh
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Northern Illinois University
Contributions:157 pushes, 3 branches in 3 years 9 months
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