Summary
Armin Moharrer is a software engineer at Google with eight years of experience bridging academic research and production AI systems, holding a PhD in Electrical and Electronics Engineering from Northeastern University. He has a strong track record in medical imaging and time-series modeling—building real-time object detection for brain ultrasound at 30 FPS and high-accuracy seizure detection models—while also delivering tree-based predictors for intracranial pressure and epidemiological forecasting. His background includes distributed ML at scale (Apache Spark) and publications recognized at ICDM, reflecting both research rigor and systems-minded engineering. Based in Mountain View, he combines hands-on model engineering, custom TensorFlow layers, and mentoring experience to move experimental models into deployed products. An attention-to-detail practitioner, he often optimizes interfaces and tooling to accelerate annotation and model iterations, enabling orders-of-magnitude speedups in data labeling and experimentation.
9 years of coding experience
7 years of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Northeastern University