Luca Sfragara is a data scientist and graduate research assistant at MIT with nine years of experience blending economics, computer science, and applied ML. He holds a Bocconi honors degree and is pursuing an MBAn at MIT, working with Professor Georgia Perakis on causal inference, reinforcement learning, and post-training LLM methods. His background includes building production ML systems in Deutsche Bank’s Risk unit, consulting with BCG on digitalization, and leading a 25-person student consulting organization that generated €200k+ annually. He also has hands-on LLM development experience across training, inference, and interpretability, and spent time at Carnegie Mellon studying deep learning and robotics. Comfortable moving between research and production, Luca brings a rare combination of quantitative rigor, product delivery experience, and entrepreneurial leadership.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Operations Research, Analytics (MBAn), Master's degree, Operations Research, Analytics (MBAn) at Massachusetts Institute of Technology
International Baccalaureate, Mathematics AA HL 7 , Physics HL 7, Economics HL 7, Biology HL 7, Italian Lit SL 7, English SL 6, 44/45 pts (top 1% of global cohort), International Baccalaureate, Mathematics AA HL 7 , Physics HL 7, Economics HL 7, Biology HL 7, Italian Lit SL 7, English SL 6, 44/45 pts (top 1% of global cohort) at Haileybury UK
Exchange, Deep Learning, Robotics, Exchange, Deep Learning, Robotics at Carnegie Mellon University
Bachelor of Science - BS, Economics, Management and Computer Science, Expected 110 cum laude / 110, Bachelor of Science - BS, Economics, Management and Computer Science, Expected 110 cum laude / 110 at Università Bocconi
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