Varun Patel
Building at the frontier of AI, product, and human potential.
Engineer and Wharton MBA candidate. Former Google. Exploring how intelligent systems can solve problems worth solving.
Who I Am
Technical depth meets product vision.
After building pricing, trust, and model-quality systems at Google, I went to Wharton to develop the strategic lens to build companies—not just features. Now I'm exploring what happens when you combine deep technical ability with product instinct and a genuine interest in how people grow.
Computer Science, UVA
Highest Distinction
Software Engineer
MBA Candidate
Wharton — Merit Fellow
AI & Product
Builder
Current Focus
Three areas I'm going deep on.
AI-Native Products
Building with RAG, agentic workflows, and retrieval systems. Exploring what happens when you give AI real tools and real context.
Product & Strategy
Studying operations, information, and decisions at Wharton. Developing the strategic lens to build companies, not just code.
Human-Centered Technology
Drawn to technology that serves human growth — tools for self-improvement, reflection, and genuine clarity.
Selected Work
Things I've built and explored.
AI Research Assistant
A RAG-powered research tool that ingests documents and surfaces relevant insights through natural conversation. Built with vector search and structured retrieval.
Realtime Data Platform
Event-driven pipeline processing millions of records with sub-second latency. Designed for observability and horizontal scale.
Design System
A composable component library with strict accessibility standards, built for rapid product iteration across multiple applications.
Ethos
“The most meaningful technology is built by people who understand both the system and the human on the other side of it.”
I'm drawn to problems where technical depth, product instinct, and genuine curiosity about people converge. The work I want to do sits at that intersection—ambitious but grounded, rigorous but human.
Let's build something that matters.
Always interested in conversations about interesting problems, AI, product thinking, and what's next.