Summary
Akash Verma is a machine learning researcher based in Berkeley with eight years of experience bridging data science and software engineering, currently focused on computer vision and deep learning at Berkeley AI Research. His background includes ML and software internships across major tech companies—Meta, LinkedIn, Pinterest, Databricks, Rivian and Analog Devices—giving him a practical track record of taking research ideas toward production-ready systems. He holds an MS in Data Science from UC Berkeley and a BS in Computer Science and Statistics from Oregon State, combining rigorous statistical grounding with engineering fluency. Outside of academia and industry, he applies the same coaching mindset as a certified personal trainer, running weekend training sessions that sharpen his communication and human-centered problem solving. Known for translating complex models into actionable solutions, he brings a rare mix of research depth, deployment experience, and people-focused coaching to interdisciplinary teams.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of California, Berkeley
Bachelor of Science - BS, Computer Science and Statistics, Bachelor of Science - BS, Computer Science and Statistics at Oregon State University