Kaneez Tumpa, Transportation Electrical Engineer, Caltrans

Kaneez Tumpa is a Transportation Electrical Engineer at Caltrans in California District 4. She is part of the design team responsible for developing electrical design plans for highway lighting, electrical, and power systems. Prior to joining Caltrans, Kaneez worked in the semiconductor field for over 15 years as a DFT (Design for Test) Engineer at Rambus and Cadence, where she supported testing, silicon bring ups, and chip debugging for various memory interfaces and emulation platforms.

Kaneez holds an MSc degree from San Jose State University and a Bachelor of Science in Electrical Engineering from Bangladesh University of Engineering and Technology (BUET).

In her free time, Kaneez enjoys traveling, cooking, and reading books on technology and leadership. She also volunteers for various community service projects and organizations.

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Fariah Mahzabeen, Ph.D., Co-Founder, Tackle

Fariah Mahzabeen is a Co-Founder and COO at Tackle. She is also an assistant professor at San Jose State University. Previously, she worked at Google as Technical Program Manager and at Verily Life Sciences (Alphabet) as Hardware Engineer. Prior to that she was a lecturer at San Jose State University. Fariah is an entrepreneur and mentor, with a vision to build meaningful products that elevate the human experience! She loves to be at the intersection of tech, people, and creativity. Fariah obtained her Ph.D. and Master’s in Electrical Engineering from Stanford University. She is the author of numerous publications and posters. Her most notable publication includes "Multifunctional, integrated, photonic lab-on-a-chip for Astronaut Health Monitoring" in TechBriefs.

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Tahmida Mahmud, Ph.D., Director of Engineering, AI, Nauto

Tahmida Mahmud is the Director of Engineering, AI at Nauto, Inc leading both the Perception & Data Science teams. The teams develop AI-based algorithms related to critical external safety features (ADAS) and driver monitoring system (DMS) for automotive fleets focusing on development, large-scale deployment, and monitoring of machine learning/deep learning solutions to mitigate distracted driving, prevent collisions, model risk, coach drivers, and contribute to the advancement of self-driving technology. She received her Masters and Ph.D. in Electrical Engineering from University of California, Riverside. Her research focus is computer vision and machine learning and she has several publications in her field. She finished her Bachelors in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET). She was listed as one of the 30 influential women advancing AI in 2020 by ReWork. Apart from her passion to use technology to have a real i...

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