Tech. Tunes. Travel.
I design and build intelligent systems that learn from data and adapt over time. My work includes Large Language Models, Generative Modeling and Deep Learning in real‑world environments. I enjoy combining theory and practice to deliver robust AI solutions.
I create practical ML tools for business and media applications. I have developed scalable pipelines for content analysis, workflow automation and user‑facing features. I focus on building reliable, user‑centric solutions that drive measurable impact.
I build data‑driven strategies for trading and decision‑making under uncertainty. My experience includes reinforcement learning agents, arbitrage‑based models and market‑statistical analysis. I enjoy learning about concepts such as Nash Equilibrium, Bayesian Methods and Markovian Processes.
Learner exploring the unique facets of the world.
I am Aadit – a Masters in Computer Science student at the University of Illinois Urbana‑Champaign. Over the last few summers I have:
On the side, I have tackled algorithmic trading challenges — placing in the top 5% at Citadel Datathon & IMC Prosperity, created an Advantage Actor‑Critic poker agent and ran Bayesian time series analyses on NASDAQ stocks.
Outside of code and data, I am an avid sports fan, fascinated by behavioral economics and politics and always on the lookout for trips to National Parks or new cities. When I am not hiking rugged trails, debating current events with friends, exploring different cuisines, or listening to hip hop, jazz and rock, I am probably planning my next project.
A selection of my range of work
