Hi, I'm Austin Chemelli
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About Me

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Hello! My name is Austin Chemelli, and among many other things, I am a Graduate student at Georgia Tech and a Developer at ArcType.

In my young professional and academic career, I have focused on strengthening my versatile skillset through countless invaluable experiences. As part of Georgia Tech's accelerated Master's program, I completed my Bachelor's degree in Computer Science in December 2023 and am on track to earn my Master's degree in Computer Science, specializing in Machine Learning, in December 2024. At ArcType, I am helping build fascinating product solutions in which my creativity and problem skills are continually tested. Other notable experiences include my current role as a Graduate Teaching Assistant for an Intro to AI course, two AI/ML internships at Lockheed Martin, cutting-edge research in Neuromorphic computing, and personal projects involving my passions.

I am driven by achieving constant growth, exploring my passions, and making a meaningful impact with anything I create.

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My Portfolio

Elph

An AI-powered sidekick that leverages data from music streaming services to improve the live music experience.

Query My Spotify

A web app (powered by a React frontend and Flask backend) that allows users unique ways to interact with their Spotify music library, and Spotify’s entire music catalog as a whole.

Machine Learning for Stock Trading

Utilizing Machine Learning algorithms to understand and evaluate stock position strategies using technical indicators

Neuromorphic Computing in OpenAIGym

Novel neuromorphic computing solutions for numerous OpenAI Gym environments.

LEENet: Learned Early Exit Network

A brand-new approach to early exit neural DNN models by learning an optimal early exit policy for efficiency improvements.

Multimodal Music Genre Classification

Combining song lyrics, audio spectrograms, and musical features together in a synthesized machine learning model to predict a song's genre.