Nezare Chafni is an entrepreneur and machine learning engineer based in Los Angeles with 12 years of experience building models from scratch in MXNet, Keras, and TensorFlow and shipping full-stack web, mobile, and IoT products. He combines deep software engineering skills across server and client code with hands-on embedded systems prototyping, bridging hardware and cloud-driven ML deployments. His background in financial consulting and having passed CFA Level I informs a quantitative, product-minded approach to modeling and valuation. Nezare has delivered across industries from e-commerce to mobile apps and IoT, often taking projects from prototype hardware to production software. Notably, he brought early leadership ambition to public life as one of the youngest parliamentary candidates in his home country at 24, reflecting a long-standing drive to lead and innovate. He presents a rare blend of entrepreneurial grit, cross-disciplinary technical depth, and finance-savvy product judgment.
12 years of coding experience
BBA, Financial Consulting, BBA, Financial Consulting at Southern Methodist University - Cox School of Business
B.S, Economics with Financial Applications, B.S, Economics with Financial Applications at Southern Methodist University
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