Summary
Rohan Arora is a software engineer based in Mountain View with 11 years of experience building scalable systems and a current engineering role at Google. He holds dual B.S. degrees in Computer Science and Quantitative Biology from UNC Chapel Hill and is pursuing an MS in Computer Science with a machine learning focus at Columbia, blending strong engineering fundamentals with applied ML research. His background spans enterprise messaging and data streaming at Fidelity, web accessibility work for users with special needs, and hands-on internships that emphasize reliable, production-ready services. Passionate about computer vision, NLP, and functional genomics, he brings cross-disciplinary curiosity to problems that sit at the intersection of biology and machine learning. Colleagues find him approachable and keen to collaborate, frequently happy to discuss technical ideas and emerging research.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science - Machine Learning Track, Master of Science - MS, Computer Science - Machine Learning Track at Columbia University in the City of New York
Chapel Hill High School
Computer Science (B.S.), Quantitative Biology (B.S.), 3.935 / 4.000, Computer Science (B.S.), Quantitative Biology (B.S.), 3.935 / 4.000 at University of North Carolina at Chapel Hill