I'm a Computer Science student at Drexel University and CTO at a stealth startup building on the Avalanche blockchain. Passionate about blockchain protocols, DeFi innovations, AI/ML integrations for crypto, and open-source development in Web3. My work focuses on scalable on-chain solutions, RWAs (Real World Assets), synthetic assets, and programmable private credit to enhance liquidity, determinism, and permissionless finance in DeFi.

Currently architecting decentralized liquidity protocols, oracle networks, and AI-driven blockchain analytics to push the boundaries of crypto infrastructure.

• Languages: Solidity, Rust, Go, TypeScript, Python, C++, Java
• Technologies: Blockchain Architecture (Avalanche, EVM, Subnets), Smart Contracts, Consensus Protocols, DeFi, ZK Systems, RWAs, Oracles (RedStone, Pyth), AI/ML for Crypto (Llama 3.1, K-Means/GMM Clustering)
• Tools/Frameworks: Foundry, Hardhat, OpenZeppelin, AvalancheJS, FastAPI, React, Next.js, Docker, Kubernetes, Grafana, Terraform, GitLab, SQL
• Domains: Decentralized Finance (DeFi), Real World Assets (RWAs), Cross-Chain Interoperability, Web3 Security, AI-Optimized Blockchain Analytics, Open-Source Crypto Innovation

Here are some of my key open-source crypto projects:

• orbital
  The world's first production-ready N-dimensional hyperspherical AMM on a custom Avalanche subnet, based on Paradigm VC research. Consolidates 190+ tokens into 10 pools with 15-150× capital efficiency via hypersphere invariants, tick-based liquidity, multi-hop routing, flash loans, TWAP oracles, and NFT positions. Deployed on ETO Testnet for scalable DeFi with O(n) complexity and gas optimizations.
  

• Avalytics
  AI-driven blockchain CRM platform for Avalanche ecosystem growth intelligence ("Palantir for Crypto"). Transforms on-chain data into actionable BD insights with AI wallet profiling (Llama 3.1), ML cohort clustering (K-Means, GMM), lead scoring, and auto-sync to Monday.com/Clay/Salesforce. Features query-to-lead pipelines, behavioral analysis, and anomaly detection for VCs, DeFi protocols, and security teams.
  

• delphic
  Revolutionary oracle protocol bridging Web2 APIs to Web3 with secure, verifiable data feeds. Supports custom API setups, TEE-protected keys, stake-based security, dispute resolution, and off-chain storage (IPFS/Arweave). Built for DeFi price feeds, gaming data, and enterprise verification on Base L2 for low fees and multi-node consensus.
  

• Nanda-Sdk-Tsc
  TypeScript SDK for advanced blockchain integrations, enabling seamless interaction with decentralized protocols. Supports custom API endpoints, real-time data streaming, and secure transaction handling for DeFi and Web3 applications, with plans for multi-chain compatibility.
  

• indic-llm-toolkit
  Hyper-specialized LLM optimization for regional (Indic) data, enhancing AI accessibility for non-English languages in blockchain contexts. Integrates with on-chain data processing for localized DeFi insights, leveraging fine-tuned models for multilingual support.
  

• Research in blockchain and AI at Drexel University, including protocol architecture, DeFi scalability, and AI applications in crypto.
• Advocate for permissionless networks: Developing frameworks for oracles, RWAs, and AI-enhanced DeFi to enable seamless, secure on-chain interactions.
• Interested in crypto innovations: Exploring hyperspherical math for AMMs, programmable credit, and oracle-verified data to challenge traditional finance and boost DeFi efficiency.

• Website: namanbajpai.com
• LinkedIn: linkedin.com/in/bajpainaman
• X (Twitter): @ndaymnam
• Email: [email protected]
• Location: United States (Drexel University, Philadelphia)

Feel free to reach out for collaborations on blockchain, DeFi, or crypto open-source projects! 🚀

Last updated: October 2025