Kevin Bardool is a PhD researcher and machine learning practitioner based in California with 10 years of experience bridging industrial-scale databases and cutting-edge AI research. He combines deep expertise in DB2/Aurora migrations, VLDB operations, and SQL performance tuning from a long enterprise career with advanced work in computer vision, morphological profiling, and federated learning for drug discovery at KU Leuven. Comfortable moving between production engineering and research, Kevin has implemented federated ML for oncology prediction and is exploring generative AI for drug repurposing in rare diseases. A perpetual learner with formal AI and ML degrees and a business-intelligence certificate, he brings rigorous analytical thinking and practical delivery experience to interdisciplinary AI and data-science teams.
10 years of coding experience
11 years of employment as a software developer
Advanced Master, Artificial Intelligence, Advanced Master, Artificial Intelligence at KU Leuven
Master's degree, Machine Learning and Data Mining, Master's degree, Machine Learning and Data Mining at Université Jean Monnet Saint-Etienne
Certificate, Business Intellgence and Data Warehousing, 4.0 GPA, Certificate, Business Intellgence and Data Warehousing, 4.0 GPA at UC Irvine, Extension
Seamanship Certification, Marine Science Technology - Sailing and Seamanship, Seamanship Certification, Marine Science Technology - Sailing and Seamanship at Saddleback College
Contributions:7 commits, 4 PRs, 6 pushes in 2 years 10 months
deep-learningr-cnntheanofastertensorflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.