Swapnil Shinde is an AI Systems Engineer and Backend Developer with over 3 years of experience in building production agent infrastructure, distributed systems, and scalable APIs. He has a proven track record in designing multi-agent discovery protocols and backend services that handle over 500 concurrent users. Currently, he is focused on developing decentralized AI networks and enhancing identity management systems at Zynd. Swapnil has also been recognized as a winner in multiple global hackathons, showcasing his expertise in TypeScript, Rust, Go, and Python.
- AI / ML
- Agentic AI
- Startups
- Developer tools
- Open source
- Web3 / Crypto
- Engineering culture
- Building with AI
- Open source
- Doing research
- Founders
- Investors
- Engineers
- Students
- Architected inter-agent search and discovery protocol for decentralized AI networks using microservices architecture, enabling 1000+ autonomous agents to discover, authenticate, and communicate via MQTT message broker with PostgreSQL-backed registry system.
- Built ZyndAI Python SDK integrating LangChain agents with Polygon ID zero-knowledge proof system for decentralized identity management, implementing RESTful APIs for secure cryptographic authentication and agent capability discovery with comprehensive integration testing.
- Developed agent registry smart contracts (Solidity) and NestJS backend APIs for identity verification with Prisma ORM, reducing agent onboarding time by 70% through optimized database queries and API endpoint design while maintaining zero-knowledge privacy guarantees.
- Architected production-grade DeFi and trading infrastructure supporting stablecoins, spot, and perpetual markets, scaling to 500+ concurrent users with 99.9% uptime. Built full-stack platforms with optimized APIs, real-time feeds, and Redis caching, plus cross-chain USDC bridging and automated trading systems achieving sub-100ms latency and 85% faster settlement.
- Implemented a Layer-2 private blockchain with custom token economics, deploying Solidity contracts via Hardhat on Ethereum testnet to automate bug-bounty rewards, cutting payment time by 90%. Added cryptographic proof-of-submission and backend wallet auth using REST APIs powered by Django, with full unit testing and gas optimization.
“Someone asked for a meeting with me a few months ago, and the first free slot in my calendar was ten days later. By the time the meeting arrived, I remembered who I was meeting with but not why we had agreed to talk. I went back through my messages to find the original conversation and reconstruct the context before joining the call. The calendar had preserved the time, the link, and the people involved. The reason the conversation had seemed useful was somewhere else. This is one of the problem”
“Heading to Devcon 2026! I’m looking to connect with builders and researchers working on agentic payments, autonomous finance, and agent economy. If you’re building or experimenting in this space, let’s connect.”
“Bring your scattered profiles into one place, we are looking for beta testers.”
“Every new conversation with an AI seems to begin with the same work: explaining who I am before I can ask for what I actually need. A longer chat history does not solve this. A conversation records what I said at one moment. It does not automatically understand which parts of that context still matter when my situation changes. A job change makes this problem easy to see as an example You can finish work at one company on Friday and begin somewhere new on Monday. Your title and priorities have c”
“The most unique way of managing agents i've ever seen in an AI product.”
“A founder once asked me if I knew someone who could join their startup as a founding engineer. I knew plenty of strong engineers, but that turned out to be the easy part. The difficult part was knowing who would actually want that kind of role. Some of the best engineers I knew wanted established teams, a clear roadmap, and a product that was already working. A founding engineer would need to be comfortable joining early, making decisions with incomplete information, and taking responsibility fo”
“This has to be heaven 😭”
“We are entering a world where every professional tool will have its AI agent, but I'm not so sure we want to re-contextualize ourselves for each new application. Microsoft has reported 15x growth in active agents across Microsoft 365 in just one year. While that's a fantastic statistic, that kind of explosive growth may lead to fragmentation Your email agent knows your inbox, your calendar agent knows your free-time, a different agent may keep track of your contacts while another helps you find”
Web3