Mohammad Yasar is a researcher specializing in Embodied AI, building adaptive, lifelong-learning agents for safe operation in homes, healthcare, and industrial settings. With eight years of experience spanning a PhD at the University of Virginia, a research internship at Microsoft, a postdoc at Rice, and now a researcher role at NEC Laboratories America, he blends academic rigor with industry-facing impact. His work advances robot perception, decision making, and knowledge retention, including novel sequence learning for human motion prediction and policy frameworks that interleave planning with execution. Practically fluent in ROS, PyTorch, and TensorFlow, he has implemented algorithms across multiple robot platforms. Colleagues describe him as a “chill hacker” who nevertheless drives state-of-the-art results—an indicator of a collaborative style that pairs calm creativity with technical depth. Based in New Jersey, he focuses on translating lifelong learning research into trustworthy, deployable autonomy.
8 years of coding experience
Bachelors of Business Administration , Finance, General, Bachelors of Business Administration , Finance, General at North South University
Higher School Certificat, Business/Commerce, General, Higher School Certificat, Business/Commerce, General at Ispahani Public School and College, Chittagong
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:23 pushes, 4 branches in 2 months
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