Summary
Rishabh Saxena is a Software Engineer AI with 10 years of experience building and optimizing high-performance ML systems, currently helping deliver Germany’s first cloud-native AI supercomputer at HLRS in Stuttgart. With an M.Sc. in Data Science from RWTH Aachen and a background spanning HPC optimization, ML benchmarking, and LLM prototyping, he bridges research-grade models and production infrastructure. His past projects include designing large-scale sensor and experimental data pipelines, deploying database-backed ML workflows, and creating LLM-driven SQL agents—demonstrating strengths across DevOps, databases, and model engineering. Notably, he has applied ML to domain problems from battery-recycling predictions to wind-turbine stress forecasting, pairing practical engineering with domain-aware modeling.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, 8.28, Bachelor’s Degree, Computer Science, 8.28 at Vellore Institute of Technology
Master of Science - MS, Data Science, 3.0, Master of Science - MS, Data Science, 3.0 at RWTH Aachen University
High School, Science, 95%, High School, Science, 95% at Ryan International School, Gurgaon
French, German, Hindi, English