Summary
Nicholas Masri is an Associate Machine Learning Engineer with nine years of hands-on experience building data-driven systems and optimization models, currently based in Denver. He holds an MS in Industrial Systems Engineering from Lehigh University and led research partnerships with the Santa Clara Valley Transportation Authority to design a real-time electric bus data platform and publish an IEEE SSCI first-author paper on charging optimization. Skilled across Python, PyTorch, scikit-learn, Gurobi, PostgreSQL, and deployment tools, he has improved energy consumption predictions by up to 30% and shepherded multi-student projects from data collection to production-ready dashboards. Comfortable moving models into operational contexts, Nick combines transportation domain expertise with practical engineering—he not only developed simulations and ML models but also managed stakeholder data pipelines and CI/CD for transit operations.
9 years of coding experience
3 years of employment as a software developer
Master of Science Systems Engineering, Master of Science Systems Engineering at Lehigh University
Phillips Academy
English, Chinese