Adeel Mufti is a Machine Learning Engineer with a decade of experience building research-driven, production-ready ML systems across autonomous vehicles and bioinformatics. He combines applied research—Mixture Density Nets, Bayesian inference, VAEs and RNNs—with software engineering rigor, having ported research prototypes from Python/Chainer to C++/ROS for deployment. At Cruise he focuses on deep learning for predicting road-user behavior, and earlier helped found and scale ML infrastructure and teams at a cancer-focused startup where models directly improved clinical trial matching. Comfortable across the stack, he has a math and CS foundation from Virginia Tech, an MSc in AI from Edinburgh and a Masters in Technology Management from Georgetown. Notably, he blends lifelong learning research with practical indexing and nearest-neighbor scene retrieval techniques, demonstrating an uncommon mix of probabilistic modeling and systems engineering.
10 years of coding experience
13 years of employment as a software developer
MSc Artificial Intelligence, Machine Learning, MSc Artificial Intelligence, Machine Learning at The University of Edinburgh
Masters, Technology Management, Masters, Technology Management at Georgetown University
BS, Mathematics and Computer Science, BS, Mathematics and Computer Science at Virginia Tech
Contributions:4 commits, 2 pushes, 1 branch in 17 days
world-modelsmachine-learningchainer
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