

Building intelligent AI Agents and crafting modern web experiences that bridge the gap between complex AI logic and intuitive user interfaces.

I specialize in developing intelligent AI Agents and automated systems that solve complex problems. While my core focus is AI Engineering, I also leverage my background in web development to build seamless, interactive front-ends that make these AI solutions accessible and engaging.
Python, TypeScript, C++, Java, JavaScript, React.js, Next.js
Pursuing TE in IT through MET BKC, Nashik
Architected multiple autonomous AI Agents and scalable full-stack applications.
React.js
Next.js
GitHereβs what I love spending time on β from real-world projects to design-first thinking.
Designing and building autonomous AI agents and language model integrations to automate complex, multi-step workflows.
Combining modern front-end frameworks with intelligent back-end logic to deliver functional and engaging web applications.
Implementing Retrieval-Augmented Generation (RAG) and prompt engineering to bring advanced AI capabilities into existing applications.
Exploring cutting-edge advancements in machine learning, AI tooling, and still keeping up with the next big thing in web development.
This is my work-portfolio! Explore a collection of projects showcasing my expertise in AI Agents, intelligent automation, and modern web application development.
AI workspace with 27+ tools. Chat via RAG, convert media, extract data, and deploy autonomous agents to Gmail/Calendar/Slack via natural language.
A LangGraph-powered agent that automatically explains and documents your Jupyter notebook cells in real-time, creating markdown docs as you code.
Revamped full-stack smart expense tracker and subscription manager featuring intelligent financial insights and improved UI.
Documenting my engineering journey, speaking at tech events, and sharing insights on AI Agents and scalable architectures.

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A glimpse into my public speaking and active community engagement. Sharing my methods for autonomous AI architectures and modern full-stack integrations.
Shared my insights on integrating MCP (Model Context Protocol). Exploring how FastMCP streamlines connecting core AI models with diverse tools and external data sources.
Read PostDeep-diving into open-source Agentic AI architectures. Discussing methodologies for building robust, stateful, multi-actor LLM applications using the LangGraph framework.
Read PostI've been building MCP servers natively. Check out my comprehensive Dev.to tutorial on engineering a dynamic Hacker News MCP Server leveraging 30+ tools, rich resources, dynamic prompts, and execution lifespans.
Read Post