Sanaz Bahargam

Sanaz Bahargam is a Research Engineer at Google DeepMind, focusing on Post-Training Gemini and reinforcement learning. Previously, Sanaz worked as an Applied Scientist at Amazon Lab126, where they specialized in generative AI, large language models, and few-shot learning. They have also contributed to the field of machine learning as a Data Scientist at 128 Technology and as a Machine Learning Engineer at Twitter, emphasizing natural language processing and personalization. Sanaz has experience teaching as an Adjunct Faculty at Stevens Institute of Technology, where they instructed data science courses and published research on constrained clustering techniques.