GSoC '26 @ AOSSIE · Multi-agent LLM pipelines → production · Solana payments in AI products · FastAPI backends processing 500+ articles/day · RAG systems with persistent memory · From autonomous reasoning to autonomous revenue
I combine LangGraph multi-agent orchestration, Solana blockchain payments, and FastAPI backends to build AI products that don't just think — they transact. Currently shipping production systems with real-time SSE streaming and crypto-native monetization.
Building an Ethereum Smart Contract with Go and Solidity
A hands-on walkthrough of how I built an English Auction smart contract in Solidity, generated Go bindings with abigen, and wired it all up with a REST API. From local Anvil testing to deployment strategies.
How I Prepared for the MongoDB Associate Developer Node.js Exam
Thinking about taking the MongoDB Node.js exam? Here's exactly how I studied, what resources actually worked, and what to expect on test day.
News platforms drown users in unfiltered content. I built a 4-agent AI pipeline using LangGraph that autonomously collects, classifies, summarizes, and bias-checks news articles in real-time. The system streams analysis via SSE and monetizes premium features through Solana-based crypto payments — processing 500+ articles daily with sub-second streaming latency.
AI chatbots forget everything between sessions. I built Nakama AI — a companion platform where AI maintains persistent personality and memory across unlimited sessions using Pinecone vector search for semantic context recall. Users define custom behavior through instruction tuning, creating AI companions that actually remember who you are.
I specialize in Python, FastAPI, LangChain, Next.js, Golang, and LLM technologies including OpenAI GPT-4, Gemini, and vector databases like ChromaDB and Pinecone. I build production-ready AI applications with multi-agent architectures and scalable backend systems.
Yes, I am available for freelance AI consulting and development work, including backend architecture, full-stack web applications, and AI integration. I have experience building multi-agent AI systems, RAG pipelines, and cloud-deployed APIs. If you want to hire an AI developer in India, reach out through the contact form to discuss your project.
I have built production-grade AI applications including RAG-based documentation assistants, conversational AI companions with persistent memory using vector databases, AI-powered news aggregation platforms with LangGraph multi-agent pipelines, and chatbots using Vercel AI SDK and LangChain.
Yes, I am open to remote work opportunities as a full stack AI developer. I am based in Pune, India, and have experience collaborating with distributed teams across different time zones on Python, FastAPI, and Next.js projects.
You can reach me through the contact form on this website, or connect with me on LinkedIn and GitHub. I am available for full-time roles, freelance projects, and AI consulting engagements. I typically respond within 24 hours.
