I build intelligent systems that actually work in production — from LLM-powered automation pipelines to KPI dashboards that drive real decisions. Google × Kaggle AI Intensive alum, B.Tech CSE 2026.
I'm a Computer Science graduate (B.Tech, RGPV 2026) who spent the last year building actual AI systems — not just tutorials. At EOXS, I designed automation workflows that replaced hours of manual supplier research with intelligent pipelines using n8n and LLMs.
My focus is on the intersection of AI automation, data analytics, and generative AI engineering. I care about one thing above all: does it work in production? Can a real team use it? Does it actually save time or surface real insights?
I'm a Google × Kaggle AI Intensive alum, a district-level chess player, and someone who genuinely gets excited about building things that didn't exist before.
Three internships, all remote, all building real systems.
Each one is a real system solving a real problem — not a tutorial copy.
Tools I've used in real projects, not just listed from a tutorial.
Learning never stops.
I'm actively looking for full-time roles in AI automation, ML engineering, and data analytics. If you're building something interesting with AI, I'd love to talk.