Successfully developed a state-of-the-art AI-driven credit underwriting engine using LangGraph and FastMCP that orchestrates multiple specialized agents to evaluate risk, detect fraud, and generate explainable credit decisions, delivering transparent, auditable, and tailored financial solutions with unmatched efficiency.

Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agent orchestration, and a Streamlit UI for end-to-end trip planning.

CrateDB provider for LangChain.

Chat with multiple web pages

AI Research Agent 🔍 secure Academic Research Assistant with AI Integration. A full-stack web application leveraging OpenAI and LangChain to provide authenticated users with AI-powered research capabilities. Features secure JWT authentication, real-time web/Wikipedia integration, Markdown report generation, and Docker deployment.

Automated candidate ranking for HR: applies NLP, skill matching, cosine similarity, and LLMs to identify the top 10 profiles matching a job description.

Simplify daily tasks with AI-powered mini apps.

Successfully developed a Healthcare AI Clinical Decision Support System, leveraging LangGraph, GPT-4o-mini, and PubMed to deliver real-time patient risk stratification, evidence-based treatment recommendations, and personalized clinical road maps with integrated drug safety validations.

Successfully developed a Cybersecurity Threat Intelligence System that leverages Neo4j knowledge graphs, hybrid RAG architecture, and AI reasoning to deliver real time, context aware insights on vulnerabilities, threat actors, and attack patterns.

An intelligent car buying assistant powered by LangGraph and OpenAI that helps users make informed purchasing decisions through automated web scraping, intelligent filtering, and comprehensive market analysis.

Workspace for the Reply Code Challenge 2026 - AI Agents track. Covers the full pipeline: learning tutorials, sandbox training, and competition solution. Built with LangChain, LangGraph, OpenRouter, and Langfuse. Documentation is structured for AI agent readability.

Advanced Agentic AI systems - each one a fully self-contained multi-agent product with a distinct architecture, custom MCP servers, persistent memory & rich Gradio UI. Architectures include - orchestration, plan-then-execute, parallel blind evaluation, parallel fan-out, genetic loops, cascading Bayesian refinement & adversarial debate framework

Successfully developed AdAstra Marketing Intelligence Campaign Optimization Engine, a next-generation AI system using LangGraph that transforms raw campaign data into strategic, revenue-driven decisions. It blends KPI diagnostics, CVXPY optimization, and intelligent budget reallocation to deliver measurable lift in ROAS, efficiency, and growth.

Describe each file of a python project by asking a Generative AI model to generate a natural language explanation of each file

Successfully developed an AI-powered Investment Portfolio Optimization Workflow using LangGraph that infers user risk profiles, selects tickers, fetches market data, and simulates & optimizes portfolios with actionable recommendations. It integrates advanced financial metrics, risk assessment, and dynamic portfolio management for decision-making.

A minimal Retrieval-Augmented Generation (RAG) pipeline built with LangChain, OpenAI, and Pinecone. It retrieves the most relevant chunks from a vector store and uses them as grounded context for an LLM answer.

A simple example of an AI agent and a LangGraph with AI agent that can understand natural language queries about planet masses and perform calculations in scientific notation. Built as a demonstration of basic AI agent architecture with skills, prompts, and testing.

AI-powered food image analyzer that extracts ingredients and nutritional information from food images using LangGraph (orchestration), LangChain / OpenAI Vision, and LangSmith (evaluation and tracing).