Open to opportunities

Skyler Solomon-Gavin

@skylersolomon-gavin

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I build machine learning, data, and web applications for scientific and operational problems.

United States

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What I'm looking for

I'm looking to build machine learning, data, backend, or web applications that solve practical scientific or operational problems, while collaborating with interdisciplinary teams and continuing to deepen my engineering and research skills.

I've developed machine learning frameworks for multimodal cell-line classification at Opo Bio and contribute to genetic perturbation modelling with NASA OSDR.

At Virsae, I built real-time applications with Azure and TypeScript, developed C# APIs for large-scale SQL databases, and created an application that saves multiple employees more than 300 hours of work each year.

I work across Python, PyTorch, scikit-learn, TensorFlow, Keras, Rust, JavaScript, and Tauri, with experience managing codebases and CI/CD alongside a team of group leads.

I've also built a first-place legal-tech hackathon RAG assistant, a search-and-rescue web application with New Zealand Police's Maritime Unit, a Windows note-taking tool, and scientific simulations and electronics projects.

Experience

Work history, roles, and key accomplishments

Research Intern

Opo Bio

Jan 2025 - Jan 2026 (1 year)

Developed novel machine learning frameworks for multi-modal data used in cell-line classification. Independently researched and implemented machine learning algorithms such as CNNs and TCN architecture.

Python PyTorch scikit learn Rust JavaScript Tauri Machine Learning CNN

Education

Degrees, certifications, and relevant coursework

University of Auckland

Bachelor of Science, Physics and Computer Science

Pursuing a Bachelor of Science with majors in Physics and Computer Science, including coursework in differential equations, linear algebra, Python programming, algorithms, and quantum mechanics.