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Tahmida Mahmud

AI - Computer Vision - Machine Learning

Tahmida Mahmud is a highly accomplished professional with a PhD in Electrical and Computer Engineering, specializing in activity analysis, video captioning, object detection, frame reconstruction, and active learning.

Tahmida acquired her Doctor of Philosophy (PhD) in Electrical and Computer Engineering from the University of California, Riverside. She also holds a Master of Science (MS) in Electrical Engineering from the same institution and a Bachelor of Science (BSc) in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology.

Professionally, Tahmida has held significant roles at reputable organizations. Currently, she serves as an Engineering Manager at Nauto. Previously, she has worked as a Staff Deep Learning Engineer and Senior Deep Learning Engineer at Nauto, showcasing her expertise in deep learning technologies. Prior to her tenure at Nauto, Tahmida held positions as an Applied Scientist I at Amazon Web Services, a Research Intern at Hewlett Packard Enterprise, a Graduate Student Researcher at the University of California, Riverside, and a Software Engineer at Samsung R&D Institute Bangladesh Ltd.

Tahmida Mahmud's contributions to the field of Electrical and Computer Engineering are notable, especially in the areas of activity analysis, video captioning, object detection, frame reconstruction, and active learning. Her academic background and professional experience have equipped her with a wealth of knowledge and skills essential for tackling complex challenges in the realm of engineering and technology.

Tahmida Mahmud
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Location

San Francisco Bay Area