AI Infrastructure And Engineering Lead at Kirkland & Ellis
Chicago, Illinois, United States
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Summary
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Senior
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Top School
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
14 years of employment as a software developer
Bachelor of Science - BS, Computer Science & Engineering, Bachelor of Science - BS, Computer Science & Engineering at Daffodil Institute of Information Technology
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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