Summary
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Rockstar🎓
Top SchoolMichael Frasinelli is a Senior Quant focused on tokenomics, financial modeling, and system design across blockchain, DeFi, and real-world asset projects. With a background spanning Wharton quantitative modeling specializations and a decade of hands-on crypto research, he has led economics and risk teams at firms including LI.FI, Gemini, Sequence, and All In Bits. He builds and validates stochastic simulations, Monte Carlo forecasts, and treasury/market-making optimizations while integrating AI/ML for risk scoring and automation. Notable work includes designing novel consensus and anti-sybil mechanisms (Proof-of-Contribution), architecting token launches and MBS-like real estate tokenization, and improving cross-chain liquidity solver performance. Comfortable in Python, R, SQL, cloud environments and Docker, he pairs deep mathematical rigor with product-minded implementation and a long-standing curiosity about the mechanics of money that began with a childhood mock-investment win.
4 years of coding experience
10 years of employment as a software developer
Specialization, Modeling Decisions & Scenarios, 100%, Specialization, Modeling Decisions & Scenarios, 100% at Wharton Online
Bachelor of Business Administration (BBA), Engineering Emphasis, Bachelor of Business Administration (BBA), Engineering Emphasis at Belmont University
Specialization, Quantitative Modeling & Simulation Capstone, 95%, Specialization, Quantitative Modeling & Simulation Capstone, 95% at The Wharton School
English