Vamshi Yadav

Hyderabad, India 60 · Good

About

Computer Science graduate with hands-on experience designing and building production-ready Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, FastAPI, and Python. Experienced in developing AI agents, multi-agent systems, tool calling, semantic search, vector databases, REST APIs, and end-to-end AI workflows. Passionate about building scalable AI-powered solutions that combine reasoning, retrieval, automation, and intelligent decision-making.

Skills & Expertise (29)

Large Language Models Expert

9.5/10

Years Exp

agentic AI Advanced

9.0/10

Years Exp

AI Agents Advanced

9.0/10

Years Exp

Prompt Engineering Advanced

9.0/10

Years Exp

Retrieval-Augmented Generation Advanced

9.0/10

Years Exp

Python Advanced

9.0/10

Years Exp

Streamlit Advanced

8.5/10

Years Exp

FastAPI Advanced

8.5/10

Years Exp

SQL Advanced

8.0/10

Years Exp

OOP Advanced

8.0/10

Years Exp

REST APIs Advanced

8.0/10

Years Exp

Git Advanced

8.0/10

Years Exp

DBMS Intermediate

7.5/10

Years Exp

Computer Networks Intermediate

6.5/10

Years Exp

Embeddings Observability Vector Databases Semantic Search Playwright FAISS ChromaDB Supabase Workflow Orchestration GitHub Groq Tool Calling Model Context Protocol LangGraph LangChain

Work Experience

Engineer

AI Auto Job Apply Agent

Present - Present

Engineered an AI-powered job automation platform that discovers, ranks, and applies to relevant job opportunities based on resume skills and user preferences. Designed an end-to-end workflow for resume parsing, LinkedIn job scraping, skill extraction, AI-based job matching, and application automation. Leveraged Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to analyze job descriptions and generate intelligent relevance scores. Automated Easy Apply detection, duplicate filtering, application tracking, and workflow management using SQLite. Built a FastAPI backend with a Streamlit dashboard to monitor job rankings, application history, and workflow execution.

Architect

ProjectForge AI

Present - Present

Architected a production-ready multi-agent platform that transforms project ideas into complete software blueprints, technical documentation, and deployment plans. Orchestrated specialized AI agents including Planner, Business Analyst, Technical Architect, Database Architect, Security, Deployment, and Reviewer using coordinated workflows. Integrated OpenRouter-compatible LLMs, FastAPI, and Supabase to automate software planning, architecture generation, roadmap creation, and documentation. Designed RESTful APIs for project management, report generation, and PDF/Markdown exports while supporting cloud deployment on Render and Streamlit Cloud. Applied AI workflow orchestration, tool integration, and multi-step reasoning to generate scalable software solutions.

Engineer

AI Research Assistant

Present - Present

Engineered an Agentic AI Research Assistant capable of dynamically selecting the appropriate tool for web search, website analysis, or PDF understanding based on user intent. Integrated Groq Llama 3.3, Tavily Search, BeautifulSoup, Requests, and PyMuPDF to retrieve, analyze, and summarize information from multiple data sources. Designed a FastAPI backend and Streamlit frontend supporting intelligent tool calling, website content extraction, and document analysis. Automated multi-source research workflows by combining real-time web search, PDF processing, and AI-powered reasoning into a unified system. Deployed the application on Render and Streamlit Cloud, demonstrating scalable AI workflow orchestration.