Nagu is an experienced professional known for his extensive work in data-driven product and technology development. His areas of expertise include Artificial Intelligence & Machine Learning (AI/ML), Blockchain, Infrastructure, DeFi, Distributed Systems and Data-Driven Marketing. With a strong background in mathematics and computer science, Nagu has utilized his skills to gain significant experience across multiple industries.
He holds degrees from prestigious institutions such as MIT, the University of Southern California (USC), and the Indian Institute of Technology (IIT). Over the years, Nagu has contributed to various sectors, including Healthcare, Finance, Leisure Travel and Technology, by developing innovative AI/ML systems, blockchain protocol mechanisms and applications that rely heavily on data from distributed systems. His approach has led to breakthrough solutions across different industries.
Recently, his research has focused on mechanism design and protocol economics in DeFi and AIxCrypto infrastructure: market structure, liquidation and ADL design, fee mechanisms, and incentive alignment for on-chain systems.
Nagu excels in integrating technology with business needs, resulting in groundbreaking products in Healthcare, Leisure Travel, Marketing, Digital Transformation, and beyond. His work has earned recognition in leading scientific journals, underscoring his commitment to innovation and excellence.
Having served in leadership positions at notable companies like the Ethereum Foundation’s PSE, Eclipse Labs, TeamViewer, and Viking Cruises, Nagu has refined his leadership skills, driving success for his teams and the organizations he has been a part of. His passion and expertise span these areas:
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Mechanism design and protocol research (DeFi): Incentive alignment, market structure, and risk controls for on-chain markets.
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Artificial Intelligence & Machine Learning: His contributions in AI/ML have led to the development of advanced, data-driven systems that extend the capabilities of technology in this field.
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Blockchain: Nagu’s deep knowledge of cryptography and blockchain technology has facilitated the creation of secure, decentralized platforms, transforming business operations.
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Infrastructure: His experience in infrastructure development has enabled him to construct robust, scalable platforms that meet the demands of the digital age.
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Data-Driven Marketing: He has crafted marketing strategies that leverage data to provide engaging customer experiences, driving business growth and customer loyalty.
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Distributed Systems: Adding to his repertoire, Nagu’s understanding and application of distributed systems principles have enhanced his ability to design systems that are more resilient, scalable, and efficient. This knowledge allows for the creation of technologies that can handle complex computations and data across multiple machines, ensuring high availability and fault tolerance.
In summary, Nagu is a well-rounded innovator and leader, with a track record of leveraging data and cutting-edge technology to drive digital transformation. His expertise across AI, Blockchain, Infrastructure, Marketing, Distributed Systems, and DeFi mechanism design positions him as a valuable asset in any forward-thinking digital initiative.
Recent writing
- The Mechanics of 24/7 Equity Perps - Part 1 - How to reason about equity perps as market machines with real frictions.
- ADL Trilemma, Assumption J.3, and Dan Robinson’s Critique and Tarun’s Paper Fixes - Where the ADL tradeoffs apply in perp venues.
- Can Your AI Agent Be Forced to Drain the Wallet? The Structural Risks of AI in DeFi - Structural risks of AI agents in on-chain protocols.
- A Control-Theoretic View of Arbitrum’s Constraint Ladder Gas Pricer - Feedback control framing for L2 fee dynamics.
- Cheap Generation and the Fragility of Understanding - Why cheap generation does not guarantee understanding or verification.
- How Jito-Solana Works - A Deep Dive - Architecture and incentive design on Solana.
- Columbia CryptoEconomics Workshop 2024 - Personal Notes and Inquiries - Notes and open questions from the workshop.
- Ensuring Correct Integer Division in Circom - Avoiding multiple solutions in prime-field circuits.
- Mastering KZG by Hand - Presented at an Ethereum Foundation workshop, widely shared, and later delivered as a workshop talk to the Ethereum developer community.
Publications
- https://thogiti.github.io/
- Successful real-world application of an osteoarthritis classification deep-learning model, Journal of Orthopedic Research, https://doi.org/10.1002/jor.25415
- Deep Transfer Learning for Classification of Common Skin Cancers in Asian Ethnicities Using CNNs with Ensemble Schemes (under review with JAMA Dermatology & JAA Dermatology).
- Privacy Preserving Brain Tumor Segmentation using Federated Learning and Differential Privacy (under review with Applied Sciences & Journal of Neuro-Oncology)
- Acoustic Psychometry using Machine Learning Methods for mental states identification