Building production AI systems — RAG pipelines, agentic workflows & LLM-powered apps. Live on HuggingFace.
Building AI that
actually ships.
I'm Abhishek Yadav — BCA (2022–2025, CGPA 7.59) from CSJMU Kanpur, positioning as an AI Engineer. I don't just study AI — I deploy it.
My flagship: 3-stage RAG + Computer Vision + Agentic AI pipeline on HuggingFace, powered by Anthropic Claude API. Plus an MCP-powered Lead Gen System with LangGraph — architecturally rare among Indian fresher profiles.
6 internships. 11 Anthropic Academy certs. Targeting AI Engineer / LLM Engineer / GenAI Developer — remote-first or Bengaluru / Hyderabad / Noida.
AI Document Intelligence
Problem: Enterprises drown in unstructured documents — PDFs and scanned files sit in silos, completely inaccessible to semantic search or intelligent querying.
Solution: Built a 3-stage pipeline: Computer Vision for document parsing → RAG with ChromaDB + all-MiniLM-L6-v2 → Agentic AI layer via Anthropic Claude API for intelligent Q&A and summarisation.
Key Highlights
- Live deployed on HuggingFace Spaces
- 3-stage RAG + CV + Agentic pipeline
- Semantic search via ChromaDB embeddings
Core Tech
MCP-Powered Lead Generation
Problem: Sales teams waste hours manually scraping, qualifying, and enriching leads with no intelligent orchestration layer.
Solution: Multi-agent system using the Model Context Protocol (MCP) with LangGraph orchestration. Agents autonomously scrape, enrich, qualify, and score leads using Anthropic Claude as the reasoning backbone.
Key Highlights
- Multi-agent MCP architecture
- LangGraph stateful workflow orchestration
- Anthropic Claude tool-use reasoning
Core Tech
Production-Grade
AI Pipeline Design.
Inspired by LlamaIndex data pipelines and LangChain agent orchestration patterns — these are the actual architectures powering my live projects.
AI / LLM Stack
Core Strength · Actively Deploying in Production
Languages
Frontend & Backend
Data & Infrastructure
6 Internships.
Real World Impact.
Security research → full-stack dev → AI engineering. Each role built the stack.
Google Developer Campus
Developer Program Participant
AI / ML track — build & deploy workshops
Codevirus Security
Security & Development Intern
Vulnerability assessment & secure code review
Code-A-Nova
Full Stack Developer Intern
React + Node.js production feature delivery
Klynt Solutions
Software Developer Intern
Client-facing web application development
HexSoftwares
Web Developer Intern
Frontend engineering & UI component systems
Self-Directed AI Research
Independent Builder
RAG systems, agentic AI, MCP architecture
11 Anthropic
Certifications.
Full Anthropic ecosystem — Claude API, MCP, Agentic AI, RAG & beyond.
OPEN TO
AI ROLES.
Looking for AI Engineer / LLM Engineer / GenAI Developer roles. Remote-first or Bengaluru / Hyderabad / Noida. Fresh grad with live deployments & 11 Anthropic certs.