Praveen Kundurthy
AI Solutions Engineer at Intel Corporation
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolPraveen Kundurthy is an AI Solutions Engineer with 10+ years of experience specializing in optimizing GenAI and HPC workloads on Intel CPUs and GPUs. At Intel he designs high-performance LLM solutions, creates hands-on training (including Intel Gaudi accelerator programs), and authors practical oneAPI/SYCL tutorials and Jupyter notebooks that help developers squeeze maximum performance from hardware. A former Senior Technical Evangelist and TME, he blends low-level performance tuning in C++/SYCL with Python-based ML workflows and has a history of improving samples and training materials in the prominent oneAPI-samples repository. Known for translating complex performance topics to diverse audiences, he pairs deep systems knowledge with developer-focused evangelism to accelerate adoption of Intel AI stacks. Based in Portland, Oregon, he brings a rare combination of engineering, teaching, and community-contribution experience that consistently turns research prototypes into production-ready, optimized AI workloads.
9 years of coding experience
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), SuratMaster's degree, Computer Engineering, Master's degree, Computer Engineering at Mississippi State University
Github Skills (7)
sycl10
oneapi10
c-language10
cprogramming-language10
gpu9
jupyter8
ai5
Programming languages (4)
Github contributions (5)
oneapi-src/oneAPI-samples
Jul 2020 - Jan 2023
Samples for Intel® oneAPI Toolkits
Role in this project:
Software Developer
Software DeveloperContributions:227 reviews, 26 commits, 141 PRs in 2 years 6 months
Contributions summary:Praveen contributed to a sample repository for Intel® oneAPI Toolkits, focusing on implementing a complex multiplication sample in DPC++. The user added the sample, updated the associated README, and made improvements to the code, including fixing licensing and optimizing the accessor. Further contributions involved updating and refining Jupyter notebooks for the oneAPI essential training series, including code corrections and updates based on the latest guidelines.
numbatoolkitsswrepoaplpower-management
IntelSoftware/PC-Skills-Framework
May 2019 - Sep 2019
Contributions:6 commits, 5 pushes, 1 branch in 4 months
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