Staff Machine Learning Engineer at Walmart Global Tech
Sunnyvale, California, United States
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Summary
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Senior
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Top School
Mohammad Laskar is a Staff Machine Learning Engineer in Sunnyvale with nine years of experience translating deep learning research into production-grade computer vision and multimodal systems at scale. He designs and deploys optimized ML models for resource-constrained environments—mobile, edge, and IoT—while building data pipelines that enable active learning and stratified sampling across billions of catalog items. At Walmart Global Tech he applies generative models and CLIP for multi-modal classification, and previously at Whirlpool he shipped patented single-instance learning and visual doneness-synthesis features for consumer appliances. His background combines a PhD in deep learning and computational neuroscience with hands-on systems work from C++ vision engines to distributed HPC matrix multiplication. Known for turning academic ideas into deployable products, he often bridges model optimization, CI/CD, and device-aware inference to make research practically useful.
9 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Computer Engineering, Artificial Intelligence and Robotics., 4.2/4.3, Master of Science (MS), Computer Engineering, Artificial Intelligence and Robotics., 4.2/4.3 at Kyung Hee University
B. Sc., Computer Science and Engineering, B. Sc., Computer Science and Engineering at University of Dhaka
Doctor of Philosophy (PhD), Deep Learning, Machine Learning, Computer Vision, and Computational Neuroscience, 3.77/4.0, Doctor of Philosophy (PhD), Deep Learning, Machine Learning, Computer Vision, and Computational Neuroscience, 3.77/4.0 at University of Miami
Contributions:11 pushes, 1 branch in 1 year 7 months
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