Summary
Behnam Shahbazi is a Senior Machine Learning Engineer with eight years of experience building production ML systems, currently shaping search and relevance for Dropbox Dash for Business. He led Openpath’s first AI product—an on-edge voice assistant for video intercoms—and has deep expertise in speech/NLP model deployment, low-latency streaming optimizations, and scaling ML on constrained devices. His PhD from UCLA produced StoryMiner, an automated framework for narrative analysis applied to misinformation detection and summarization, reflecting a long-standing interest in extracting actionable signals from historical and social data. Comfortable bridging research and product, he has shipped solutions at startups and large enterprises (Motorola Solutions, Microsoft, Adobe), and is now exploring GenAI and RAG-based LLM chatbots for internal knowledge and QA. Colleagues note his blend of problem-solving, product focus, and a knack for turning academic ideas into practical, performant systems.
8 years of coding experience
14 years of employment as a software developer
University of California, Los Angeles
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Sharif University of Technology
Persian, English