Summary
Sonia Baee is a Machine Learning Engineering Manager based in the San Francisco Bay Area with nine years of experience building AI-powered productivity tools and research-driven ML systems. She moved from deep academic research at the University of Virginia into industry roles at Adobe and Apple, specializing in VLMs, LLMs, Agentic AI, and MLOps/VLMOps for digital media and user-facing features. Sonia has hands-on expertise across the ML lifecycle—data acquisition and quality assessment, metric design and evaluation, deployment, and in-app feedback pipelines—bridging product, research, and engineering teams. Her background includes developing evaluation frameworks that combine human and LLM judges and a data product for training/evaluation data quality, demonstrating a strong focus on measurable, production-ready model behavior. She pairs a PhD-level research mindset with practical implementation skills in Python, PyTorch/TensorFlow, AWS, and full-stack tooling, often translating complex model insights into actionable product decisions. Notably, she has cultivated interdisciplinary collaborations—from clinical studies to large-scale A/B testing—bringing rigor and user-centered evaluation into generative AI features.
9 years of coding experience
8 years of employment as a software developer
PhD student Computer Science Transferred, PhD student Computer Science Transferred at Texas Tech University
Amirkabir University of Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Virginia