Headline

Applied AI Engineer (Student) | Shipping RAG systems, AI agents & MCP servers | Python, FastAPI, Claude API, React | Open to Growth Engineering + Applied AI roles in Bengaluru

About

86% retrieval precision. 8 automated tests. 1 content pipeline that publishes on its own. That’s what I’ve shipped while still being a final-year Information Science student at NMIT. Most people learning AI engineering try to cover every framework and master none. I picked one lane: agentic systems and retrieval, built end to end and put into production. What I’ve built: • RAG Notes Q&A system. FastAPI, Docker, GitHub Actions CI, 86% retrieval precision measured with LLM-as-judge. • Multi-agent SEO content pipeline for a Bengaluru fitness brand. Live, publishes to WordPress with no manual step. • SPLIT, a hybrid training tracker in React and TypeScript with a custom MCP server pulling live Strava data. • A self-improving design agent that cut carousel design from hours to under 10 seconds using a feedback-to-memory loop. The thread through all of it is distribution. I don’t just train models or write copy. I build the system that connects the two, which is why growth engineering roles at seed to Series A startups are where I want to be. Before code, it was cricket. Competitive through U-19, Best Bowler at a U-16 Manipal tournament, Player of the Tournament in Dubai. Same discipline, different game. Building something at the intersection of AI and growth? Tell me what you’re working on. saipratheesh15@gmail.com

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

gemini

Work experience

Customer Success Executive at Innova Marketing Group, Jan 2026 - Jun 2026 · 6 mos, Bengaluru

Education

Bachelor of Engineering, Information Science/Studies, nitte meenakshi institute of technology

Public links

github: https://github.com/saipratheesh07

portfolio-flax-rho-46.vercel.app: https://portfolio-flax-rho-46.vercel.app/