A machine learning engineer based in Houston, TX.
I build AI-powered systems to automate workflows and help catch what breaks behind the scenes.
I currently work at Oceaneering International, where I build LLM workflows that extract and surface insights from unstructured data.
Previously, I developed machine learning models at the intersection of computer vision and NLP.
Tools and technologies I currently work with:
When I'm not tinkering with code, you’ll find me strength training, out on a run, or reading anything from historical fiction to books on biology and psychology.
Oceaneering International
Feb 2025 - Present
Jun 2023 - May 2024
Jan 2022 - Jul 2022
Jun 2020 - Dec 2021
CVPR Generative Models for Computer Vision Workshop (GCV) — 2023
Top Finding: Program synthesis with error correction improves precision and enables reliable procedural rendering in text-to-graphics tasks.
IEEE CONECCT, Geoscience and Remote Sensing Technologies — 2022
Key Contribution: Developed a semantic segmentation model that surpassed state-of-the-art performance while using 71% fewer parameters.
Fine-tuned the YOLOv3 object detection model on a custom dataset characters from The Office.
Analyzed language models, such as BERT and GPT-2, to detect subjectivity and bias in news articles.
A browser-based drawing tool featuring dynamic grid generation and real-time user interaction
Utilised regression models to estimate the time it takes for cancer patients to receive a metastatic diagnosis.
A interactive front-end application for managing a personal library and tracking reading status.
