Summary
Deeban Ramalingam is a versatile software engineer and data scientist with 12 years of experience building ML-driven systems across industry and national labs, and is currently a DFT Senior Data Analytics Scientist and Software Engineer at NVIDIA. He holds a BS in Computer Science from Cornell, an MS from UCLA (thesis published), and completed 1.5 years of PhD research at Columbia focused on ML and biology, blending rigorous research with production engineering. His background spans cloud networking at Microsoft Azure, ML and computer vision work at SLAC and Stanford, and applied R&D internships at NVIDIA and P&G, showing a pattern of translating research into deployable tools. Deeban repeatedly shipped end-to-end systems—from real-time event frameworks and cloud storage pipelines to ML preprocessing for cryo-EM and XFEL workflows—demonstrating comfort across backend, data, and research codebases. He has presented technical work to senior stakeholders (e.g., LCLS director) and earned multiple academic honors, reflecting both technical depth and strong communication. A less obvious strength is his early impact in education tech: as a teen he built web apps for Idaho Digital Learning that led to a Senate presentation and lasting contributions to online learning platforms.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Computer Science (Departmental Honors) and Minor in Mathematics, Bachelor of Science (BS), Computer Science (Departmental Honors) and Minor in Mathematics at Cornell University
Completed 1 1/2 years PhD, Computer Science, Completed 1 1/2 years PhD, Computer Science at Columbia University
University of California, Los Angeles
High School, High School at Centennial High School