In my past career, I worked in every position imaginable in the Austin Music Industry. From professional DJ to Sales Manager, Audio Engineer to Session Guitarist, I have done it all. In 2016, I leveraged a lifetime passion for Linux and open-source software to a system administration role at a NLP startup. I finally saw the computer talk back and decided I needed to know everything about what makes that possible.
Six years later, I have finished my Master’s degree in Computer Science at the University of Texas at Austin. While I am still very interested in NLP, my horizons have expanded to Computer Vision, Neural Audio Synthesis, Music Information Retrieval, and Systems design. As part of my graduate studies, I completed a Master’s thesis where I studied various methods to produce images and animations based on a mixture of musical and textual inputs. In my spare time, I still play guitar, make bad electronic music, and build little devices using Teensy and Daisy to delight my curiosity.
I am currently seeking opportunities in AI/ML or Backend development where I can leverage my diverse set of experiences to create innovative solutions to complex problems. I am open remote, hybrid, or office work in the Austin, TX Metro area.
Vibe Video is a Generative AI company making creative tooling for creative people.
Texas Inventionworks is the Makerspace for the Cockrell School of Engineering at UT Austin offering hands on fabrication experience for students
Silicon Labs is fabless global technology that designs and manufactures semiconductors and other silicon devices.
Smartish is a mid-scale, local smartphone case manufacturer.
Dec 2016 - May 2018, Austin, TX
SecondBrain was an NLP startup specializing in short-form creative text generation. Techstars Music Alumni 2018
May 2015 - Dec 2017, Austin, TX
Switched On is a vintage synthesizer repair and sales shop.
Aug 2012 - Jun 2021, Austin, TX
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2020-2024
BS/MS in Computer ScienceFinal GPA: 3.75 out of 4Taken Courses
Extracurricular Activities
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2008-2010
Associates of Science in Audio Engineering |
Studied approaches to AI image generation based on musical and textual inputs. First approach is lyric-based, producing image-generation prompts using LLMs via a synthesis of textual analysis and summarization of lyrics. Second approach fine tunes a MIR model to describe images which correspond to provided musical snippets. Final approach fine-tunes a Stable Diffusion XL model to directly produce images from audio embeddings provided by AST. Results show that the lyric-based approach is the most successful, while other approaches are highly data-constrained.
Semester project implementing core concepts from AlphaGo and AlphaGoZero to train a Go playing agent. Major accomplishment was using ZeroMQ and small networks to colocate multiple inference instances on a single consumer-grade GPU.
Semester project studying the applicability of Encodec towards producing general purpose audio embeddings. Our approach encodes AudioSet using Encodec and then trains MobileNetV3 to classify the original AudioSet tags. We evaluate the performance using linear probing and find that while the approach underperforms in specific tasks, it performs surprisingly consistently across all tasks.
Python library for interacting with Fabman.io API for maker space access control. Developed to transition TIW maker space from homespun solution to Fabman.io.
Using LLM to synthesis Faust code to build digital synthesizers. Based loosely on AlphaCode, a LLM produces novel Faust code to build new audio synthesizer architectures.
Final Project for Robot Learning graduate course. Comparison of different torch data strategies resulting in 33% more efficient data loading for large multi-modal datasets.
Final project for undergraduate ML intro course. Used machine learning to dig into the Gaia Data Release version 3 to identify celestial objects.
Using few-shot learning and Pattern-Exploitative Training to identify spam and sentiment at the heart of the 2022 crypto boom and bust.
Using python and numpy to simulate gates for quantum computing calculations.
Web Portal application for Texas Inventionworks, the makerspace located in the heart of the Engineering Education Research building at UT Austin.
Python library for parsing SysEx information from the Elektron Digitone. No longer maintained to parse newer firmware.
