Summary
Amir Farbin is an AI and data science consultant with over a decade of hands-on experience applying machine learning, deep learning, and HPC techniques to industry and large-scale scientific projects. He blends academic rigor from a PhD in particle physics and two decades leading ATLAS and DUNE computing efforts with practical product impact—building algorithms and conducting code reviews that improve scalability and profitability. As founder of AnomalousDL and current consultant at Five Sigma, he has delivered anomaly detection, telepresence, and intrusion-detection systems using advanced probabilistic and unsupervised methods. He also created and directed a rapidly growing undergraduate Data Science program at UTA and taught courses spanning software engineering to GNNs, reflecting a rare mix of pedagogy, research leadership, and production ML. Notably, he has scaled distributed deep-learning workflows on DOE supercomputers for particle reconstruction, demonstrating an unusual ability to move models from research clusters into industry-scale deployment.
9 years of coding experience
8 years of employment as a software developer
Bachelor's of Science, Physics, Bachelor's of Science, Physics at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Particle Physics, Doctor of Philosophy - PhD, Particle Physics at University of Maryland