Salina Ahmed, Technical Project Manager, Google

Salina Ahmed is a Technical Project Manager at Google Inc. She has been working at Google for nearly a decade as TPM and Business Analyst and currently focuses on implementing end-to-end reporting processes from design and data manipulation, data engineering, dashboards, and ongoing operations to provide fast and effective insights to the executive leadership teams. She also creates data pipelines and executive reports for Firebase, YouTube, Stack Overflow, GitHub, and Google Analytics.

Prior to joining Google, Salina gained experience at high-profile companies such as the Federal Reserve Bank, Thomson Reuters, GE, and Rogers Communications in Canada.

Salina holds a BS in Computer Science from the University of North Texas, where she received multiple awards and scholarships, including being on the President's and Dean's lists. In her free time, Salina enjoys reading and is a talented painter.

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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.

SVBW STEM- A philanthropic effort

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...

Silicon Valley Bangladeshi Women in STEM

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