Arvind Kumar

I've built full-stack AI products including an AI job portal powered by Gemini, FastAPI, PostgreSQL, and pgvector semantic search, enabling skill-to-job matching and resume-based filtering beyond keywords.

For a McKinsey AI Market Research & Strategy Engine, I designed a LangGraph system of six specialized agents to automate planning, retrieval, validation, aggregation, and report writing. I also built its Next.js, Express, MongoDB, and JWT-protected application stack, with production deployment on Vercel, Render, and MongoDB Atlas.

As a Data Analyst Intern at Apana Time Tech Solution, I engineered customer features across 3,900 transactions, automated 10 PostgreSQL insight queries, and built a Power BI dashboard that identified a 73% non-subscriber growth opportunity.

I'm a final-year Information Technology graduate eager to bring hands-on experience in Generative AI, agentic workflows, RAG, backend APIs, and deployment to a production engineering team.