Aditya Rathod

Built a local web dashboard and CLI for ASUS routers that shows all devices on the network and lets you block or unblock their internet access with one click.

Started to rank every Chipotle location nationwide by price and user reviews, ended up building a Rust client for retrieving menus and locations for Chipotle’s reverse-engineered API instead.

Creating a chaotic personal AI bot by fine-tuning a language model on Discord messages.

Trained a bot on my message history to speak like me in a weekend, with blog post explaining how I did it.

A tiny library to implement Snowflake IDs in Golang.

Developed information retrieval pipeline for a League of Legends lore Discord chatbot.

Worked in a team to build and pitch a solution in 24 hours that uses React and the OpenAI API to generate detailed travel itineraries based on customers’ preferences, even enabling them to book flights based on the itinerary.

Developed a Python chatbot with a React frontend that can answer open-ended knowledge-based questions about data structures & algorithms and class administrivia.

Collaborated as part of the HackUTD Experience team to develop and present an introductory backend workshop to 50+ students.

Worked in a team to build and pitch a solution in 36 hours that uses React Native and a machine learning model to track eye movements and display trends of fatigue during critical situations.

Developed data pipeline and analysis tools for an AWS networking product.

React + HTML canvas based robot simulator that allows users to create and control simulated robots in a 2D grid.

Joke API to generate repetitive strings of text (i.e.

Basic React-based dynamic, animated broadcast graphics toolkit.

Developed large-scale log event ingestion and query service leveraging C# and Elasticsearch.

Compared the real-world performance of current approaches to online portfolio selection on a variety of portfolios and trading frequencies.

Collected, stored, and displayed ERCOT capacity and usage data graphs throughout the Texas winter storm crisis.

Prototyped a competitive mental math practice game aimed at preparing for trading interviews.

Collaborated with an team of designers and writers to develop a centralized hub for event information.

Developed hybrid redesign of existing Leasing Tablet mobile application using React Native, allowing it to run on iOS and Android.

Worked on a platform connecting high school students to undergraduate college applications mentors.

This was my first-ever hackathon project!

Attempted to repurpose LSTM-based neural sequence-to-sequence language model to the domain of long-form text summarization.

Trained a small machine learning model to detect fraudulent transactions.

Launched a web app to help students schedule office hours with their teachers.

Learn how to build a machine learning model to predict Titanic survivors based on the Kaggle dataset.

How people cheat at trivia games, and how the companies running them could stop this from happening.

Developed a question-answering system for HQ Trivia app with realtime OCR in a weekend, with blog post explaining how to mitigate such approaches.

Explore the depths of your browser history with this introductory data science tutorial.