Hello, I'm Khushboo — builder, tinkerer, future founder.

I work where logic, creativity, and ambition overlap. I've built dashboards, automated financial reports, and shipped real-time apps — but what really excites me is turning scrappy ideas into something real.

Currently: debugging a stubborn data pipeline

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Python✦ Machine Learning✦ Deep Learning✦ Dashboards✦ Event Classification✦ Streamlit✦ Chocolate✦ Power BI✦ Entrepreneurship✦ Chai✦ Fortnite✦ Python✦ Machine Learning✦ Deep Learning✦ Dashboards✦ Event Classification✦ Streamlit✦ Chocolate✦ Power BI✦ Entrepreneurship✦ Chai✦ Fortnite✦

01 —

A little about me.

The usual suspects, plus a few things you didn't ask for.

I'm Khushboo — a CS & Business student at NYU Stern who thrives at the intersection of logic, creativity, and ambition. I've built dashboards, automated financial reports, and developed real-time apps, but what truly excites me is the journey of turning scrappy ideas into something real.

Outside of code and coursework, I'm a certified chocolate connoisseur, a soon-to-be skydiver, and currently learning how to build my dream PC, piece by piece.

Someday, I hope to launch a startup that blends technology with purpose — and have fun while doing it.

Education

New York University

Stern School of Business · Senior, Class of 2026

◆Computer Science
◆Business, Technology & Entrepreneurship

NYC

Right now

Senior at NYU Stern — wrapping it up
Building QuantEdge.AI — my intraday trading startup
Returning to EssilorLuxottica for Summer '26
Deep-diving into AI & Machine Learning
Getting destroyed at Fortnite (the grind is real)

Chocolate tally

0 squares devoured

(click to eat one — I won't judge)

Skydive status

Altitude: 0 ft. Very much still on the ground. Soon.

Currently learning

AI & Machine Learning

for the startup, and because it's fun.

event classification
sector & industry impact
deep learning fundamentals

02 —

Where I've been.

A few stops — finance, audit, venture, mobile. Lots of learning.

2026

Returning Intern

EssilorLuxottica

Heading back for Summer 2026 — genuinely excited. Planning to pick up where the last internship left off and push the data tooling further.

Summer '26
Data
Dashboards
Returning

2025

Commercial Sales Data Intern

EssilorLuxottica

Designed competitor-benchmarking dashboards in SQL, Python and Streamlit that Sales and Product Development now use to spot assortment gaps and pricing trends — feeding directly into portfolio strategy conversations. Also rebuilt the sample-ordering flow, cutting it from 6–7 hours to ~5 minutes (≈99% faster) and getting manual errors out of the loop.

SQL
Python
Streamlit
Dashboards
Process automation

2024

Audit & Assurance Automation Intern

Deloitte

Wrote Python tooling (pandas, openpyxl, python-docx) to automate the MS Office workflows the audit team lived in. The headline win: financial report generation went from ~4 hours to 2–3 seconds — a 99.97% cut, and a much happier team.

Python
pandas
openpyxl
Audit automation

2024

Venture Capital Intern

RadiusVC

Built data pipelines that pulled and cleaned startup data from PitchBook and Crunchbase, then layered Python-based scoring models on top to evaluate companies across financial, product and market signals — the kind of homework that makes a partner meeting shorter.

Python
Data pipelines
PitchBook
Scoring models
VC

2023

Software Engineering Intern

Settlin

Shipped Flutter UI components and wired them up to Firebase for real-time updates inside a Scrum cycle. Plugged in REST APIs and proper localization, which dropped the app's crash rate by ~15% and made the whole thing noticeably less rage-inducing.

Flutter
Firebase
REST APIs
Localization
Scrum

The full version (with all the small print) lives on my resume →

03 —

Projects I'm proud of.

Two favorites right now — the rest live on my GitHub.

N° 01 Startup · Registered

QuantEdge.AI

My startup · currently building

An autonomous intraday trader. The focus is event classification — using ML and deep learning to figure out how world events ripple through specific sectors and all the way down to individual industries.

The biggest fight right now? Sourcing enough high-quality labeled data to train models that actually generalize. Open to introductions.

Startup
Machine Learning
Deep Learning
Event Classification
Python

Talk to me about it →

N° 02

NYC Spot

A location-aware app that helps you find the right spot in New York — built to make the city feel a little more navigable, one neighborhood at a time.

Python
APIs
UI/UX

Read the story →

…and many more tiny experiments on GitHub

Poke around my GitHub

04 —

Learning out loud.

Bite-sized videos I record while teaching myself AI and ML — half study notes, half talking to myself until it makes sense.

Foundations ~3 min

What is an embedding?

The intuition, the geometry, and why king − man + woman ≈ queen is a real thing.

Transformers ~5 min

Attention, demystified

Why we weight things, what Q, K, V actually are, and the softmax-step that makes it click.

Startup notes ~4 min

Labeling financial events (the hard part)

Notes from QuantEdge.AI: where the data lives, what's noisy, and the taxonomy I keep rewriting.

New episode soon

Working on: backprop intuition without the scary math. Drop a topic you want next.

more episodes roll in as I learn — refresh in a week :)

05 —

Unserious corner.

The stuff that makes me, me.

Chocolate, ranked

Lindt 70% dark sea salt
Tony's Chocolonely caramel sea salt
Any good hazelnut praline
A warm pain au chocolat (counts)
Whatever you brought me

suggestions welcome →

Currently geeking out on

Picking GPUs like they're trading cards
Tiny Streamlit apps for big questions
How great dashboards tell stories
The secret life of keyboard shortcuts

Tiny keyboard menu

?: show shortcuts
R: open resume
G: go to GitHub
L: open LinkedIn
T: scroll to top
C: eat chocolate

(really, try them — and type "choco")

"Build things that matter — and have fun while doing it." — a note to self

By the numbers

0startup in progress
0side projects shipped-ish
∞cups of chai

06 —

Let's make something together.

Building something interesting, looking for a collaborator, or just want to argue about the best dark chocolate? My inbox is very open.

Email me