Card Command
A rewards optimizer for a two-person household's credit cards. Pick what you're buying and it tells you which card to swipe for the most points, while tracking statement credits and sign-up bonus progress.
Open the appBITS PilaniBCG MumbaiChicago BoothNext: tech
Aryan
Ochani
I like turning messy problems into things people can actually use.
MBA candidate at Chicago Booth, focused on tech strategy and product roles at AI-first companies. Before Booth, I spent four years at BCG Mumbai, mostly on pricing and AI projects. Outside class, I build small products, and a few of them are below.
Open to Summer 2027 internships in tech strategy and product
At a glance
4
things I've built, from a multiplayer game to a rewards optimizer
100+
monthly players on DISHOOM!
2
case competitions, including a winning product case
4yrs
at BCG Mumbai before Booth
Each one is open to explore below
01Builds
Builds|I learn fastest by shipping something people can click
Live game
DISHOOM! A multiplayer card game 100+ people play every month
Live
Ek gaon. Chaar avatar. Ek gaddar.
DISHOOM!
The Commissioner wants order. The Dons want him dead. Somebody at this table is playing both sides.
BANG!DISHOOM!
What I did
Designed the product
Reimagined the hidden-role card game BANG! as an Indian deck with original characters and cards, plus a one-tap switch back to the western names.
Coded it end to end with Claude Code
A single-file web app with AI bots for empty seats and phone-to-phone rooms, self-hosted on Cloudflare's free tier.
Tested like a product team
Ran 1,000 simulated games to catch crashes and balance win rates across 4 to 7 players before each release.
Iterated with real players
Shipped 15+ playtested releases from friends' feedback; the current version reaches 100+ monthly users.
1,000
simulated games per balance pass
15+
playtested releases
100+
monthly active users
4 to 7
players, any mix of humans and bots
Class prototype
Admit Pal A 24x7 MBA admissions assistant
What I built
The problem
Admissions consultants are expensive, so most MBA applicants guess where they stand and which schools to apply to.
The product
Enter a profile and get a Dream, Target and Safe school list in about a minute, then school-specific strengths and gaps.
The flywheel
A community feed where every shared result makes the odds more accurate for the next applicant.
Built to test
A tester log next to the phone records every tap alongside the data the product would capture, so each user test doubles as data design.
44
schools in the fit model
~1 min
from profile to school list
24x7
no consultant calendar needed
1 file
opens anywhere, no server
Built for Booth's Building an AI Company course. School numbers in the prototype are illustrative mock data.
9:41
AAdmit Pal
Where do you stand?See your Dream, Target and Safe schools in about a minute.Check my fit
DreamUnder 30%
Target30 to 59%
Safe60%+
Tap to try it
02Case competitions
Cases|Problems I competed on, with the final work open to read
Click a cover to read the final submission right here.
03AI workbench
AI workbench|Small tools I built to solve my own problems first
Consulting slide generator
A Claude skill that turns a short brief into a consulting-style deck in Booth colors, handling the storyline and the slide layouts.
04Background
Background|An engineer by training who spent four years at BCG
2018 to 2022 · Goa, India
BITS Pilani
B.E. Chemical Engineering (Honors), Minor in Finance
III
Institute Bronze MedalistEquivalent to summa cum laude
2022 to 2026 · Mumbai
Boston Consulting Group
Associate to Consultant
Four years on pricing and AI projects for industrial and tech clients, promoted twice along the way.
2026 to 2028 · Chicago
Chicago Booth
MBA candidate, 1898 Merit Scholar
Concentrating in Applied AI and Strategic Management. Member of the Booth AI Group and Booth Technology Group.
Get in touch
Let's talk about Summer 2027.
I'm recruiting for tech strategy and product internships at AI-first companies. Email is the fastest way to reach me.