Summary
Shadi Akiki is a versatile machine learning engineer at Voya Machine Intelligence with 11 years of experience building end-to-end data products—from collection and feature engineering to modeling, deployment and user-facing GUIs. Comfortable across time series, text, image, audio and video, he blends full-stack data science with cloud engineering and software development to deliver production-ready ML systems. He founded AutofitCloud to automate cloud cost optimization, reflecting a practical focus on efficiency and operational maturity. His background spans finance, asset management and research—ranging from algorithmic trading and equity-market ML in London to neuroscience research at the Blue Brain Project and MIT. Trained in financial mathematics at EPFL and computer engineering at AUB, he brings quantitative rigor together with hands-on engineering. Notably, he pairs startup founder grit with enterprise-scale ML delivery in a Jacksonville, FL–based role.
11 years of coding experience
12 years of employment as a software developer
AI Expert Certificate, Artificial Intelligence, AI Expert Certificate, Artificial Intelligence at Pi School
Master of Science - MS, Financial Mathematics, 3.6, Master of Science - MS, Financial Mathematics, 3.6 at EPFL (École polytechnique fédérale de Lausanne)
Bachelor of Engineering - BE, Computer Engineering, 3.6, Bachelor of Engineering - BE, Computer Engineering, 3.6 at American University of Beirut