Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks

An Open Core scaffold for building powerful, production-ready agentic systems with LangGraph.

🤖 CodeForge AI: An autonomous multi-agent coding system powered by LangGraph for agentic software development and automated workflows. SOTA custom agentic GraphRag, shared-state memory, auto-model routing for cost optimization, and a range of custom tooling.

Intelligent Document Assistant with LangSmith (RAG)

LangGraph JS app based on CoinMarketCap API

A Python-powered web scraping tool with built-in article summarization, CLI and API interfaces, and Docker support. Ideal for extracting and managing web content at scale.

An in production RAG (Retrieval-Augmented Generation) web application that leverages Google Gemini Pro for question answering using user-uploaded PDFs or CSVs. Built with FastAPI, LangChain, Pinecone, and LangSmith for robust LLMOps, and deployed using Docker, GitHub Actions, and Render.

This is a reasoning AI chatbot that uses Deepseek R1

An AI-powered employee management demo built with JStack, LangGraph, and LangSmith, providing real-time insights and natural language interactions for streamlined HR analytics.

a self-improving analytical agent grounded in reflection design with external feedback to refine responses.

Langgraph Agentic Chatbot

Job Interview Notification AI Agent (LangGraph JS)

LangGraph-based Gmail assistant with HITL, reminder dispatcher, and Gemini 2.5 tooling. Automates triage, replies, and reminder management for email workflows.

Successfully developed a Multi-Source Knowledge Intelligence Agent - an advanced agentic AI application that integrates multi-format document and web data processing with LLM-powered analytics and conversational intelligence. It analyzes multi-source data (URL/files) with AI-driven insights, sentiment analysis, knowledge graphs, and chat interface.

A multi-agent chatbot with LangGraph, using Supervisor, Enhancer, Researcher, Coder, Validator, and Normal agents. Built with Flask + PostgreSQL, it supports authentication, session-based memory, and delivers accurate, context-aware responses.

A chatbot that performs web searches on demand and notifies users with relevant results in real time.

A chatbot that leverages Large Language Models (LLMs) to perform real-time web searches using LangChain, Groq API, and various search tools. This project is deployed on Hugging Face Spaces.

My First RAG chatbot with PDF upload and memory - Streamlit + LangChain + Groq

Using LangGraph to create agents

Showcases LangSmith integration in LLM apps—from simple Runnables to chains, RAG chatbots, agent workflows, and LangGraph orchestration. Enables tracing, debugging, monitoring, and evaluation of pipelines, tools, and workflows for full observability.