Rakshith Vasudev is an MLOps engineer with 10 years of experience building and optimizing deep learning infrastructure, currently focused on MLOps at Writer after leading AI systems work at Dell EMC and Ford. He specializes in performance tuning, benchmarking (including MLPerf), and deploying GPU-accelerated training and inference on bare-metal Kubernetes and HPC clusters. Comfortable across the stack, he blends hands-on model engineering with platform automation—profiling with nvprof/DCGM, orchestrating with Kubernetes and Slurm, and scaling pipelines with Horovod and Spark. His background in software engineering and applied ML enables him to translate research-grade models into production workflows while shaving time-to-solution. Based in Austin, he pairs a practical, metrics-driven approach with a curiosity for making deep learning “fun” in production-grade systems.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Visvesvaraya Technological University
Master’s Degree Computer Software Engineering, Master’s Degree Computer Software Engineering at California Baptist University
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