I am an active open science advocate, reproducibility champion and open source contributor since 2007. I have an interdisciplinary background in computer systems, compilers, machine learning, physics and electronics. I also hold a PhD degree in computer engineering from the University of Edinburgh and I am a founder of cTuning.org (non-profit open science organization, 2014+), a founding member of MLCommons (2021+) and head of Cloud Services Labs at FlexAI (2024+). In the past, I was VP of MLOps at OctoAI, co-director of the Intel Exascale Lab, senior tenured scientist at INRIA and adjunct professor at the University of Paris-Saclay. I am passionate about using my experience, skills, and open-source automation tools to inspire students, researchers, and engineers to learn, explore, innovate, and address real-world problems. I also advise deep tech companies and startups how to avoid common pitfalls and maximize their chances for success. My current activities are:* founder and architect of the Collective Knowledge Playground (CK, 2023+) - an open platform supported by MLCommons and FlexAI to learn how to co-design efficient and cost-effective ML/AI systems via crowd-benchmarking and optimization challenges: https://cKnowledge.org and https://arxiv.org/abs/2406.16791 ;* creator and architect of the Collective Mind automation framework (CM, CM4MLops and CM4MLPerf, 2022+) adopted by MLCommons to modularize and automate MLPerf benchmarks: https://github.com/mlcommons/ck , https://doi.org/10.5281/zenodo.8105339 .* author and tech lead of CMX (the next generation of CK, CM, CM4MLops and CM4MLPerf);* founder of cTuning.org (non-profit open science organization, 2014+) setting up reproducibility initiatives and artifact evaluation at ML and Systems conferences: https://learning.acm.org/techtalks/reproducibility and https://cTuning.org/ae ;* author of the unified Artifact Evaluation Appendix used at many ACM and IEEE conferences: https://cTuning.org/ae/checklist.html .You can learn about my current and past projects at my website: https://cKnowledge.org/gfursin .