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Product Consultant & Researcher | Web3, DeFi & AI Agent Specialist
Proven experience in financial product research and analytics in the Web3/Blockchain/AI agent domain. A keen follower of DeFi mechanisms and well versed with traditional finance.
Based in Mumbai, India, I specialize in quantitative analysis and financial modeling within the rapidly evolving Web3, DeFi, and AI agent ecosystems.
With extensive experience across leading Web3 protocols including Indigo Protocol, Genius Yield, and Edgeware DAO, I bring a unique blend of traditional finance expertise and cutting-edge blockchain/AI agent knowledge.
My work focuses on developing sophisticated financial models, designing incentive mechanisms, and creating analytical frameworks that drive protocol stability and growth. I also create educational content through Medium articles covering DeFi and traditional finance.
My journey through the Web3 and DeFi landscape
Joined Indigo's core team at inception and worked on Indigo Product Suite ideation, developing numerous Python/Quant models for protocol parameters.
Chakra AI Agents is an Indigo Ecosystem project, focused on advanced DeFAI agents.
Regularly publish finance content covering trending topics and research work from the world of DeFi and traditional finance.
Genius Yield, an orderbook DEX in the Cardano ecosystem, seamlessly blending orderbook model advantages with decentralized exchange architecture.
Started as community moderator and formed the financial team, leading DAO financial strategy and community engagement initiatives.
Selected work from hackathons and independent DeFi research
Problem
DeFi users often hold leveraged or borrowed positions without a clear understanding of liquidation risk, price sensitivity, or which actions are actually safe to take. Protocol UIs expose raw metrics, but fail to translate them into decision-ready risk insight.
What I Built
A protocol-agnostic DeFi risk analysis tool that evaluates the health of collateralized debt positions. It computes liquidation buffers, price-drop sensitivity, safe withdrawal thresholds, and a normalized health score. The app encodes protocol risk parameters via presets while keeping all position inputs manual, avoiding wallet permissions and stale on-chain data. Built with a pure TypeScript risk engine and deployed as a fully static Next.js application.
Technical and domain expertise across Web3 and traditional finance
November 2023
Mumbai University, 2020
Ready to discuss Web3 opportunities or collaborate on DeFi projects