Medibill Copilot
An AI-powered legal navigator helping low-income patients fight medical debt — turning confusing bills, collection letters, and court documents into actionable remedies with citations to the exact statutes that protect them.
Stack Consci — a conscious stack
I'm Rahul Shukla — AI product builder and Chicago Booth MBA student. This site is an evolving record of what I build and what I learn: projects, coursework, competitions, and the thinking connecting all of it. Not a finished portfolio. A work in progress, updated as I go.
Selected Projects
Each case study focuses on the operating reality behind the work: the problem, the constraints, the system design, and what changed in how I think.
An AI-powered legal navigator helping low-income patients fight medical debt — turning confusing bills, collection letters, and court documents into actionable remedies with citations to the exact statutes that protect them.
Recent Writing
This is where I turn classes, product work, and technical experiments into clearer points of view.
What it looked like to build an evidence-first AI workflow in a domain where confidence without proof is a liability.
Read essayTwo completed quarters at Booth. What has actually shifted — not what I expected to shift, but what I can observe in how I think and operate now.
Read essayThe advice people give about balance at a top MBA program is often optimistic to the point of uselessness. Here is what actually happened.
Read essayGrounding is not just a technical pattern. It is a stance on how AI should behave when people need to trust what it says.
Read essayCurrent Focus
Chicago Booth is giving me a stronger operating language for ambiguity, incentives, markets, and decision-making. I’m using that in parallel with hands-on AI product work.
Building consciously — not just because it is possible, but because it can change something real in people's lives.
Translating Booth frameworks into product choices that survive real-world ambiguity and pressure.
Building evidence-grounded AI systems where trust is earned through architecture, not promised through UI.
Exploring how healthcare, finance, and information systems create practical wedges for responsible AI products.
Contact
I’m especially interested in thoughtful conversations around evidence-grounded AI, healthcare and finance workflows, operator-centric products, and ambitious teams.