AI Engineer · MCP · Agentic Systems · RAG · LangGraph
I build intelligent AI Agents, MCP servers, and multi-agent LangGraph pipelines that turn complex problems into shipped products — backed by full-stack MERN/Next.js expertise and a Master's in Computer Science (AI).
At Zinnov (Draup), I architect embedding-based classification models, multi-step job-role intelligence agents, and RAG pipelines that power Fortune 500 research. Open-source contributor: MCP servers, CLI agent systems, vector search tooling.
“I design workflows where AI agents collaborate, reason, and execute.”
I am an AI Engineer from India, pursuing a Master's in Computer Science (AI specialisation) at Kings Engineering College. My foundation is a B.Tech in Information Technology — where I discovered my obsession with building systems that think, adapt, and act.
I specialize in agentic AI: LangGraph multi‑agent pipelines, MCP servers, RAG systems, and LLM‑powered automation. I design workflows where multiple AI agents collaborate, reason, and execute tasks autonomously — backed by full‑stack expertise across Next.js, React, Node.js, and Python.
At Zinnov (Draup), I build AI automation pipelines — embedding‑based classification models, multi‑step job‑role intelligence agents, and web‑scraping workflows that power research for Fortune 500 clients. Outside work, I ship open‑source AI tooling: MCP servers, CLI agent systems, and full‑stack apps that push the edge of what's possible.
31 skills across 3 categories
44 projects · page 1 of 5
A lightweight MCP server for LinkedIn automation. Supports profile, job, company and post scraping. Enables post creation, reactions and media upload for agent workflows, and integrated with OpenAI's GPT-4 for intelligent code analysis
A scalable AI content generator app using Next.js, React, Tailwind CSS, TypeScript, Gemini AI, and Clerk. Features include dynamic templates, searchable filters, adaptive forms, and rich text editing. Drizzle ORM and PostgreSQL enable secure data management
Selvin PaulRaj K's portfolio, built with Next.js 16, TypeScript, Tailwind CSS, and Framer Motion, offers a sleek, responsive design and dynamic animations. It includes features like styled email integration, Vercel Analytics, and optimized performance
Copy-ME is a minimalistic, real-time web application designed to facilitate instant text sharing across multiple devices. It functions as a live, shared clipboard where users can draft content privately and then explicitly 'Publish' it to synchronize with all connected participants
Browser extension for detecting phishing websites using machine learning
FastAPI backend for phishing detection using machine learning models
Zinnov (Draup)
Arakkonam, Tamil Nadu, India (On-site)
• Supporting AI-driven enterprise research by analyzing structured and unstructured data. • Improved classification and matching accuracy by 40% through embedding-based similarity models. • Built internal automation pipelines for job-role intelligence, cutting manual analysis time by 30%. • Collaborating with cross-functional teams to deliver data-backed insights for Fortune 500 clients.
1 role
01 publication · 04 awards
Proposed and developed a smart Event Management System (EMS) integrated with an AI-powered Facial Recognition-Based Image Sharing System (FRISS). The platform streamlines the complete event lifecycle including registration, QR-based check-ins, scheduling, secure image sharing, and GDPR-compliant consent management.
The system leverages Next.js, Convex, Clerk, Razorpay, TensorFlow, and Cloudinary to automate event workflows and deliver personalized image galleries using facial recognition. It demonstrates a scalable, privacy-conscious, and user-centric approach to academic event digitization.
38 certificates · 10 issuers · 5 categories