Nikhil Palaskar is a Senior Software Engineer with a decade of experience building and optimizing cloud-native ML and big-data systems, currently driving LLM inference performance at Red Hat. He combines hands-on expertise in Kubernetes/OpenShift deployments, GPU profiling (NVIDIA/AMD), and vLLM-based model serving with a strong background in serverless Spark platforms and IoT pipelines. His early research improved mobile touch-based authentication using pattern-recognition algorithms, and he has applied computer vision and CNNs to near real-time perception systems in automotive R&D. Comfortable across the stack—from Java and Golang infrastructure to Python ML tooling—he iterates quickly on performance tuning, benchmarking, and cross-platform validation. Outside work he pursues history, politics and the outdoors, a mix that fuels his curiosity-driven approach to solving hard engineering problems.
10 years of coding experience
9 years of employment as a software developer
Master of computer and information Systems, Computer Sciences, Master of computer and information Systems, Computer Sciences at University of Michigan-Flint
Nanodegree, Data Scientist, Nanodegree, Data Scientist at Udacity
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at Dr. Babasaheb Ambedkar Technological university
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Nikhil Palaskar - Senior Software Engineer at Red Hat