Summary
Pranav Vempati is a software engineer blending 11 years of experience across production software, machine learning, and scientific computing, currently building at Amazon Web Services after work on Amazon’s Just Walk Out systems. He holds an MS in Computer Science from UC Santa Cruz and has applied ML in high-stakes environments—from reduced-order modeling and GAN-based physics prediction at Lawrence Livermore National Lab to deploying customer-facing LLM solutions and serverless inference pipelines at CoreData AI. Pranav has shipped end-to-end systems on constrained edge hardware and large cloud platforms, pairing low-level C++ simulation work with Python-driven ML stacks and prompt engineering to reduce decision time and hallucinations in real deployments. As former president of the largest AI student group at UCSC, he emphasizes mentorship and applied projects, and he brings a track record of improving CI workflows, test suites, and production UX across organizations. Notably, his background bridges academic research, embedded ML on Edge TPUs, and scalable cloud-native LLM services—making him comfortable translating research ideas into reliable production software.
11 years of coding experience
3 years of employment as a software developer
University of California Santa Cruz
English