Summary
Gabriella Melki is a senior data science leader with 11 years of experience building production-ready machine learning systems and leading cross-functional teams at Booz Allen Hamilton and Modzy. She combines deep research credentials (PhD-level work in scalable SVMs and streaming concept-drift detection) with hands-on product delivery—designing model retraining pipelines, multi-GPU computer vision training, and automated deployment/versioning on Docker and AWS. Gabriella has a track record of translating research into measurable impact, from accelerating SVM training at VCU to delivering cost-saving predictive maintenance dashboards in industry. As a founder of a 501(c)(3) nonprofit, she also demonstrates operational leadership, fundraising success, and web development skills that extend beyond pure engineering. Practical, curious, and risk-tolerant, she specializes in solving integration and deployment challenges that block ML features from reaching users. Based in Richmond, VA, she blends academic rigor with pragmatic product instincts to move models from prototype to reliable, auditable production.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidad de Córdoba
Doctor of Philosophy (PhD), Engineering, with a concentration in Computer Science, Doctor of Philosophy (PhD), Engineering, with a concentration in Computer Science at Virginia Commonwealth University
BS, Computer Science, BS, Computer Science at American University of Beirut
English, Arabic, French, Spanish