Summary
Rajat Keshri is a versatile software engineer with eight years of experience building production-grade systems spanning deep learning, cloud-native services, and full-stack web applications. Currently at NVIDIA, he has hands-on experience deploying LLM-based multimodal retrieval systems, microservice model deployments, and low-level SSD software and validation frameworks from earlier roles at Western Digital. Rajat combines ML/AI work—computer vision and speech processing—with strong engineering practices in CI/CD, containerization, and backend APIs (Python, C/C++, Node/React), and has a track record of cutting build times and automating complex pipelines. He has bridged research and product as a graduate teaching assistant and research/backend engineer, and has delivered measurable impact like a 40% reduction in compilation time and model-driven failure prediction. Based in California and active in NVIDIA-focused ML engineering, he brings a pragmatic blend of systems-level rigor and applied machine-learning curiosity.
8 years of coding experience
4 years of employment as a software developer
12th PUC PCMC, 12th PUC PCMC at DCFL
10th standard, 10th standard at Delhi Public School - Bangalore South
Master of Science - MS Computer Science , Master of Science - MS Computer Science at Northeastern University
Bachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at RV College Of Engineering
English, Hindi, Kannada