Summary
Reda Nezzar is a VP of Software Engineering with a Ph.D. in Machine Learning and nine years of hands-on experience building full-stack systems and production ML solutions. He combines strong fundamentals in object-oriented design, data structures, and core Java with practical expertise across C++, Python, JavaScript, R, and Matlab to ship frame-accurate media tools, data libraries, and enterprise services. At JPMorgan Chase he advances engineering leadership while earlier roles at NYU had him lead the Datavyu video-coding project and redevelop Databrary with Node and Vue.js, demonstrating a rare blend of research rigor and production-grade engineering. His academic work produced 44 alternative predictive models for national power-load forecasting and a novel ANN-based mid-term forecast approach that outperformed benchmarks, showing an ability to turn small datasets into robust long-term forecasts. Comfortable managing Linux servers, databases, and end-to-end lifecycles, he pairs quantitative depth with a practical knack for shipping resilient systems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - Ph. D., Machine Learning., Doctor of Philosophy - Ph. D., Machine Learning. at Université Badji Mokhtar de Annaba
English, French, Arabic