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Summary
Passionate Blockchain and AI Specialist with over a decade of experience in research, development, and education, specializing in privacy-preserving technologies, federated learning, and decentralized systems. Holding a PhD in Machine Learning Applications on Blockchain from École de technologie supérieure (ETS) and ongoing postdoctoral work at the University of British Columbia (UBC) on blockchain-empowered privacy-preserving federated learning, I have led projects enhancing scalability, security, and performance in DeFi, Layer 2 solutions, and applications across health, bioinformatics, supply chain, banking, and autonomous vehicles. As a proven leader—serving as CTO, Blockchain Team Lead, and Senior Architect—I have developed DEX aggregators, smart contracts, and ZK-proof systems, audited protocols, and supervised PhD/Master's students, while contributing to publications in top journals and earning awards like the Ethereum Fellowship and Moonbeam Grant. Proficient in Solidity, Rust, Python, PyTorch, TensorFlow, and cloud platforms (AWS, Azure, Google Cloud), I excel in interdisciplinary collaboration, agile product development, and teaching advanced courses on blockchain and AI, seeking opportunities to drive innovative solutions in Web3 and AI-driven ecosystems.Experiences
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In Crypto Since
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