Rajeev Ranjan is a Principal Applied Scientist based in Seattle with ~10 years of hands-on experience in deep learning, computer vision, and biometrics, grounded in a PhD in Electrical and Computer Engineering from the University of Maryland. He progressed from academic research and high-impact internships at NVIDIA and Apple to applied R&D roles at Amazon and now leads AI efforts at Auger, delivering production-ready ML systems. Rajeev blends strong research pedigree (peer-reviewed publications and novel algorithms) with product-focused engineering—previous work includes a patented network-fault mining method and gaze-angle estimation for driver monitoring. Comfortable across the stack, he has a full-stack developer mindset and a curiosity for Web3 that complements his pragmatic, innovation-driven approach. Colleagues describe him as efficient and deliberately unhurried: “lazy but fueled by innovation,” a trait that helps him prioritize impactful solutions over noise.
9 years of coding experience
13 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at St. Michael's High School
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Maryland
Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at Indian Institute of Technology, Kharagpur
Contributions:2 PRs, 3 pushes, 3 branches in 4 years 1 month
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Rajeev Ranjan - Principal Applied Scientist at Auger