Particle physics engineer by degree and a data engineer by passion, Michał Maciejewski is an IT Expert at Roche in Warsaw, Poland. In his current role since December 2022, he serves as a data engineer for remote patient monitoring in clinical trials and a GenAI lab automation project. He also leads the academic partnering activities of Roche Digital Technology in Poland. Previously, Michał was a Post-doctoral Researcher at ETH Zürich from April 2021 to December 2022, where he was the principal invectigator of the Magnet Numerics project. There, he developed a microservice framework for ML-based optimization of particle accelerator components. His extensive experience at CERN in Geneva, Switzerland, spanned several roles, including Senior Research Fellow (2018-2021), Doctoral Student (2014-2018), and Technical Student (2013-2014). At CERN, he initiated and was the technical lead for the LHC Signal Monitoring project. His work involved creating a data analysis pipeline with Apache Spark, Hadoop, and Airflow, and building notebooks for semi-automated analysis, which reduced analysis time by 75% for LHC hardware commissioning. Michał holds a PhD with honors, an MSc, and a BSc in Automatic Control and Robotics from Lodz University of Technology. He has supplemented his education with programs from prestigious institutions, including the "TOP 500 Innovators Program" at Stanford University, a negotiation program at Harvard Law School, and a Micro-Masters Program in Statistics and Data Science from MIT. He is currently pursuing a Data Science Master's Degree at Harvard Extension School. His commitment to community and education is evident in his pro bono work. He is a co-founder and CFO of the Polish Baseball and Softball Foundation, a mentor for TopMinds, and has served as a section leader for Stanford's "Code in Place 2021" and a teaching assistant for the MIT Refugee Action Hub. His achievements have been recognized with numerous awards, including the Ministry for Science Scholarships (2014 and 2017), "Path to Harvard" Contest in 2018, the 2017 IEEE Council on Applied Superconductivity Graduate Study Fellowship, and the title of The Best Student of Poland in the "Student's Nobel" 2014 National Contest. He is a native Polish speaker, is fluent in English (C1), and has intermediate proficiency in French (B1) and German (B1).