Heya! I’m Adit.

I am currently at Sandia National Labs developing geospatial machine learning models for predicting wildfire behavior. To-date I've worked in data analytics and interned in frontend software development, venture capital, and marketing. Across all that is a shared love of making thoughtfully designed products with great people, and hopefully improving the world along the way.
I recently graduated with an MS in Computer Science from Georgia Tech, specializing in Machine Learning. Prior to that, I got a BA in Economics from the University of Chicago. Outside of work, I’m a climber, photographer, national park enthusiast, and avid roadtripper. I'm lucky to have lived in 5 different states and visited 44 of them, but these days you're most likely to find me in Albuquerque, New Mexico.

Read more about me...

scroll-down-arrowscroll-down-arrow

Work Experience

Sandia Labs
Hopper
Digitas
Chicago Ventures
Chicago Booth
Polsky Center
Geospatial and ML Intern @ Sandia National Labs

Oct. 2023 - Present

  • Developed algorithm using satellite imagery to map the ignition and spread of historic wildfires, enabling team to model variables that drive fire growth and rate of spread
  • Created deep learning image models with CNNs (PyTorch) to classify landcover from satellite images, owning the whole process from concept to predictive model
  • Supported team ML modeling tasks by building scripts in Python to pull terabytes of historic geospatial remote sensing data from Google Earth Engine
  • Developed geospatial data visualizations to contextualize our work with respect to electric grid resiliency, historic wildfires, and areas with high winds near grid assets

Python

PyTorch

Google Earth Engine

QGIS

Plotly

Figma

Data Projects

Detecting Credit Card Fraud

Project Page

How do you detect fraudulent credit card transactions when 99.8% of transactions aren't fraud? This page shows how I approach complex predictive modeling on an open dataset, specifically supervised machine learning on tabular data. My goal is for models to be transparent and easy to understand while maintaining strong performance.

Python

Statsmodels

sklearn

Plotly

Seaborn

Web Projects

Midway Ventures (2018)

Project Page
Website

Midway Ventures was founded in 2014 as a student organization at the University of Chicago to help VC firms identify, diligence, and source promising student startups, and to work directly with startups on projects related to fundraising and business development.

JavaScript

Bootstrap

Squarespace Dev Platform

jQuery

Greensock

HTML

LESS

Cloudy Day Club - Spotify (2020)

Project Page
Website
Source Code

Cloudy Day Club is a Spotify Web Player with a splash of color for those drab cloudy days. The interface's color is personalized to the album art of whatever song you choose to listen to.

Spotify Web API

React

Redux

Express

Node.js

axios

Reach Router

Styled Components

SCSS

Heroku

Andre Castro Racing (2020)

Project Page
Website
Source Code

Andre Castro is a first-generation Colombian-American racecar driver and 2020 EuroNASCAR Champion. I built Andre's website to help sponsors and racing teams better understand his potential and talent.

React

Gatsby v2

Netlify (CMS)

SASS

Bulma (CSS)

Javascript

Intel, Intelligent-Point-of-Sale (2019)

Project Page

During the summer of 2019, I had the privilege of working with the amazing Technology team at Digitas in Chicago as a Front-End Software Engineering Intern. During my time at Digitas, I worked on Intel’s “Intelligent Point of Sale (IPOS)” software.

Vue

Nuxt

Git

JavaScript

JIRA/Jenkins

HTML/SCSS

Bootstrap

NVM/NPM