Most businesses are about to be discovered — or bypassed — by AI assistants before a human ever reads their site. I build the systems that determine which outcome happens.
AI Agent Hub & marketplace enabling real-world workflow automation. Combines crypto agents (blockchain transactions, NFT minting via natural language), browser automation, and a multi-LLM orchestration backend. USDC escrow and reputation system built-in for developer monetization.
UPI middleware for zero-fee collections that verifies customer payments made directly to merchant bank accounts, then orchestrates trusted post-payment fulfillment events without acting as a money-moving processor.
AI-native conversational commerce platform using RAG + multimodal models to search, compare, and purchase across multiple e-commerce sites using natural language.
Customers are already asking AI who to trust, what to buy, and how to pay. I turn that shift into a practical revenue path for US-based service businesses and brands.
Be the business AI can confidently recommend. Turn the details that make you the right fit into information assistants can understand, compare, and surface.
Stop making ready-to-buy customers start over. Give them one helpful conversation that answers questions and reaches an order, booking, or human handoff.
Let intent become a completed transaction. Create a secure, governed path for an AI agent to present and confirm payment without breaking the conversation.
Not sure which offer fits? Send a short note on your business and bottleneck—I'll reply with the most useful starting point.
I'm a builder at the intersection of AI systems, developer experience, and emerging compute paradigms. My career has been defined by one thesis: the most impactful work happens where complex technology meets the humans who build with it.
At Cartesi, I turned a 2–3 hour developer pain point into a 15-minute workflow — not through clever code alone, but through systematic feedback loops, empathy, and cross-functional execution. That's the kind of 10x I care about.
Today I'm focused on the hardest problem in AI: making increasingly powerful models observable, debuggable, and trustworthy. I think about interpretability as an engineering discipline — not an academic one — and I design production systems with that constraint built in from day one.
IIT Roorkee physics graduate. Shipped hardware to 35,000+ customers. Spoken at ETHGlobal. Currently building AI agent infrastructure that actually works.
In a short call, we'll identify where AI can create the clearest customer and revenue advantage—and whether one of these engagements is the right next move.