Python
,FastAPI
,LangChain
,LangGraph
, andPostgreSQL
. Focused on scalable APIs, RAG architectures, and real-world AI systems.Featured
A production-grade multi-agent AI research platform built with FastAPI, LangGraph, Gemini, and PostgreSQL that orchestrates autonomous research workflows using specialized AI agents, real-time web search tool calling, async streaming responses, and persistent report generation through a stateful agent execution pipeline.
A production-grade AI research assistant built with Python, FastAPI, PostgreSQL and Next.js. It features real-time streaming AI chat, persistent conversation memory, and a sophisticated RAG pipeline for multi-PDF document analysis using LangChain, ChromaDB, and Google Gemini 1.5 Flash.
A full-stack AI-driven resume analysis platform built with Next.js, React 19, and Express.js that parses PDF resumes, scores them on ATS compatibility, structure, and readability, and leverages Google Gemini 2.5 Flash to deliver actionable improvement suggestions and resume-to-job-description comparison with match scoring.
About
I'm an AI & Backend Engineer focused on building production-ready GenAI applications, scalable APIs, and intelligent backend systems. I work primarily with Python, FastAPI, LangChain, and modern AI tooling to develop LLM-powered applications, RAG pipelines, and agentic workflows. I enjoy solving real-world problems through clean architecture, scalable system design, and practical AI engineering.
Skills
vijayshankarmb's coding journey over the past year
Fetching your GitHub activity data
Design & Developed by vijayShankar
© 2026. All rights reserved.