Summary
Arsh Suri is an AI/ML-focused software engineer with eight years of research and engineering experience building production-ready systems at the intersection of machine learning, bioinformatics, and scientific computing. Currently an AI/ML intern at NASA and a computational researcher for GaTech’s Center for Origins of Life, he designs scalable backends and visualization tools that manage 250,000+ non-coding RNA records and apply Random Forest classifiers to discover novel RNA classes. His internships at TandemAI and Schrödinger show a track record of productionizing ML models, automating cloud CI/CD, and integrating headless browser testing for generative platforms and drug-discovery pipelines. Arsh pairs strong numerical and data-engineering skills (Python, NumPy/SciPy, OpenCV, MySQL) with front-end and full-stack experience (TypeScript, Django) and a knack for turning academic datasets into usable software. Notably, he has delivered tools used by telescopes and research groups and has a demonstrated ability to synthesize synthetic datasets for robust model validation.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science & Biomedical Engineering, 3.6, Bachelor of Science - BS, Computer Science & Biomedical Engineering, 3.6 at Georgia Institute of Technology
Chinese, English