Sophia Brennan
Ml Research Engineer
Cerebrix Technologies
LinkedIn: demo://sophia-brennan
Verified
Resonance
3.0
Dissonance
2.3
Experience
Ml Research Engineer
Cerebrix Technologies
2022 - Present
Develops real-time object detection and defect classification models for industrial edge deployment. Authored Cerebrix's proprietary ViT-Lite architecture powering quality inspection programs.
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Software Engineer, Security Intelligence
Novalith Systems
2020 - 2022
Built ML-based anomaly detection models for Novalith's Sentinel platform. Implemented on-device model compression techniques reducing inference memory footprint by 55%.
Education
MS in Machine Learning
Carnegie Mellon University
2018 - 2020
B.S. Computer Science
University of California, Berkeley • Berkeley, California, United States
2014 - 2018
3 Reviews
1.0
4.0
Mar 21, 2026Last edited on Mar 21, 2026
Technically impressive, genuinely difficult to wor...
Reviewed by a other
Strength: Deep technical competence within her domain
Weakness: Cross-functional working style creates friction at every boundary; does not meet non-technical stakeholders even partway
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3.0
3.0
Mar 21, 2026Last edited on Mar 21, 2026
Brilliant but can be territorial
Reviewed by a colleague
Strength: Technical depth, quality bar, speed of research iteration
Weakness: Territorial about her work streams; the friction it creates isn't always worth the ownership signal it sends
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5.0
0
Mar 21, 2026Last edited on Mar 21, 2026
One of the most technically gifted CV researchers ...
Reviewed by a colleague
Strength: Deep CV expertise, speed of implementation, intellectual curiosity that drives genuinely novel solutions
Weakness: Gets attached to her architectures — I've seen her resist pivoting even when early signals suggested a rethink was warranted
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Showing 1-3 of 3 reviews