Summary
Patricia Hanus is a computer scientist and UC Berkeley EECS graduate with 12 years of hands-on experience building data-driven software and tooling across startups and large tech teams. She has practical backend and frontend experience—using Python, Scala, JavaScript, and data tooling—to improve platform health at Twitter, build company-wide logging and modeling at Survata, and deliver teacher-facing Chrome tooling at Sycamore Education. Recognized internationally for STEM research as an undergraduate, she contributed to peer-reviewed work on perceptual animacy while gaining fMRI certification and award-winning presentation experience. Based in the San Francisco Bay Area, she combines a strong academic record (3.9 GPA) with a track record of shipping impactful features and analytical systems that bridge research insights and production engineering.
12 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering and Computer Science, 3.9/4.0, Bachelor’s Degree, Electrical Engineering and Computer Science, 3.9/4.0 at University of California, Berkeley
High School, 4.0/4.0, High School, 4.0/4.0 at Metropolitan Community College
English, Khmer