Summary
Robin Ranabhat is a Machine Learning Engineer with 8 years of experience building systems from prototype to production, currently working at Red Hat and based in Indiana. He combines a strong foundation in mathematics and computer science with practical expertise in full-stack ML—spanning model development, document information extraction, time-series forecasting, and LLM-driven tooling. Robin has hands-on experience deploying cloud-native and bare-metal Kubernetes clusters, GitOps workflows, and performance-focused engineering including custom CUDA work and low-level optimizations. His research background includes improving neural network robustness to adversarial and out-of-distribution inputs, and he has delivered applied solutions for customer support automation and database-interfacing LLMs. Known for digging into technical nuance, he pairs curiosity about parallel and distributed algorithms with a track record of shipping reliable, scalable ML products.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Kathmandu University (KU)
High School, High School at Valmiki Shikshya Sadan