Ethan Glaser is an AI Frameworks Engineer with seven years of engineering experience, currently at Intel in Seattle where he scales ML algorithms and leads CI and productization efforts for developer-facing libraries. He specializes in moving research code into production-ready packages, adding multi-GPU support and MPI scaling for high-performance kNN workloads while maintaining clean C++ and Python benchmarks. As a GitHub Code Owner for OneDAL and scikit-learn-intelex, he combines deep systems knowledge with active open-source stewardship and has presented his team’s work directly to Intel’s CTO. He mentors interns, runs sprint planning as scrum master, and has a track record of improving developer efficiency and profiling-driven performance wins. A Cornell Tech M.Eng. student with a Purdue B.S. in Computer Engineering, he also brings practical cross-domain experience from industry internships in data science, cloud IoT, and backend microservices. Notably, he authored a comparative analysis of CPU vs GPU classical ML cost-effectiveness, reflecting a rare focus on both technical optimization and economic impact.
7 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Purdue University
Master of Engineering - MEng, Computer Engineering, Master of Engineering - MEng, Computer Engineering at Cornell Tech
High School Diploma, High School Diploma at Wayzata High School
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Ethan Glaser - AI Frameworks Engineer at Intel Corporation