Engineering Lead At Intel Liftoff at Intel Corporation
Portland, Oregon Metropolitan Area United States
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Summary
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Senior
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Top School
Rahul Nair is an engineering leader with 10 years of hands-on AI and cloud experience, currently heading Intel Liftoff where he helps early-stage AI and HPC startups scale using Intel’s open acceleration technologies. He progressed through roles from cloud and OpenStack engineering to machine learning architect and senior staff engineer, blending deep systems knowledge with practical ML deployment experience. Rahul’s work focuses on rigorous technical problem-solving and co-creating robust, scalable solutions across complex AI/HPC stacks, enabling partners to productize cutting-edge performance. Based in the Portland metro area, he pairs a strong academic foundation—a MS in Computer Engineering from UTSA—with a track record of shipping production systems at Intel. Colleagues value his ability to translate hardware acceleration capabilities into real-world developer outcomes, not just benchmarks. An understated strength is his cross-disciplinary fluency: he bridges cloud infrastructure, ML architecture, and startup mentorship to accelerate innovation end-to-end.
10 years of coding experience
12 years of employment as a software developer
B.Tech, Engineering, 3.6, B.Tech, Engineering, 3.6 at Mahatma Gandhi University
A platform to enable unified APIs for containerized services in multiple segments like AI, Database, and Media.
Contributions:2 releases, 4 reviews, 15 commits in 5 months
containerspaassegmentscontainerizeddocker
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Rahul Nair - Engineering Lead At Intel Liftoff at Intel Corporation