Summary
Vishnu Pamula is a machine learning engineer with nine years of experience building predictive models, ETL pipelines, and deep learning solutions that bridge research and production. Based in San Francisco, he has blended academic rigor from an MS in Applied Mathematics and a BA in Data Science with hands-on roles across labs and startups, including research at Cold Spring Harbor and Memorial Sloan Kettering and engineering work at PropLytics. More recently he transitioned into advanced vehicle testing at Zoox, applying data-driven thinking to safety-critical systems. He is particularly interested in the intersection of data science, neuroscience, and ML, bringing a quantitative mindset to messy, real-world datasets. Known for translating complex models into operational workflows, he thrives on projects that move from prototype to measurable impact.
9 years of coding experience
2 years of employment as a software developer
BA Data Science, BA Data Science at University of California, Berkeley
MS Applied Mathematics, MS Applied Mathematics at Stony Brook University
English, Telugu