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 a record of what I build and what I learn: projects, coursework, competitions, and the thinking that connects them. Not a finished portfolio. A work in progress.
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 quarters into Booth, the biggest changes are not on my resume. They are in how I prepare, how I choose, and how honestly I measure my own effort.
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 essayAdobe case competition finalist who couldn't close. A hackathon win with two prizes out of five categories. A VCIC that didn't clear the first round. First quarter at Booth taught me more from the losses than the wins.
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 evidence-grounded AI workflows (Medibill Copilot) where trust is earned through architecture, not promised through UI.
Translating decision-making frameworks into product choices that hold up under real-world constraints.
Focusing on domains like healthcare, finance, and information systems where correctness and traceability matter.
Improving how I allocate effort — choosing fewer things, but doing them with full commitment.
Contact
I’m especially interested in thoughtful conversations around evidence-grounded AI, healthcare and finance workflows, operator-centric products, and ambitious teams.