Arman Hasanzadeh is a Senior Software Engineer and PhD candidate specializing in machine learning for graph-structured data, generative models, Bayesian inference, and representation learning, with seven years of industry and research experience based in the San Francisco Bay Area. He has applied his work across graph analytics, drug and text generation, time series, data integration, and anomaly detection, earning publications at NeurIPS, ICML, ISMB and Bioinformatics and a best-paper finalist at ICASSP. At Google he has focused on applying LLMs and fine-tuning strategies for code generation and reasoning, and now works at DeepMind on AI-driven code security. Comfortable spanning full-stack data science and production ML, he brings both academic rigor from Texas A&M and practical impact on real-world datasets and systems. An under-the-radar strength is his track record of translating complex probabilistic and graph models into deployable solutions for industry-scale problems.
6 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Electronics and Communications Engineering, Doctor of Philosophy (PhD) Electrical Electronics and Communications Engineering at Texas A&M University
Bachelor of Science (B.Sc.) Electrical Electronics and Communications Engineering, Bachelor of Science (B.Sc.) Electrical Electronics and Communications Engineering at Sharif University of Technology
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Arman Hasanzadeh - Senior Software Engineer at Google DeepMind