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Hello, I'm Dylan Trenck.

A Computer Scientist building cool things.

Take A Look At My Work

My Skills

Languages
HTML/CSS
HTML/CSS
Level: Expert (90%)
Experience: 4 years
Projects: 15+
JavaScript
JavaScript
Level: Advanced (80%)
Experience: 3 years
Projects: 10+
Java
Java
Level: Expert (90%)
Experience: 4 years
Projects: 8+
Python
Python
Level: Advanced (85%)
Experience: 3 years
Projects: 12+
C
C
Level: Advanced (85%)
Experience: 3 years
Projects: 6+
SQL
SQL
Level: Proficient (75%)
Experience: 3 years
Projects: 7+
COBOL
COBOL
Level: Proficient (75%)
Experience: 2 years
Projects: 3+
Tools
OpenCV
OpenCV
Level: Advanced (80%)
Experience: 2 years
Projects: 5+
TensorFlow
TensorFlow
Level: Proficient (75%)
Experience: 2 years
Projects: 4+
RAG
RAG
Level: Intermediate (70%)
Experience: 1 year
Projects: 2+
PyTorch
PyTorch
Level: Intermediate (70%)
Experience: 1 year
Projects: 3+
scikit-learn
scikit-learn
Level: Proficient (75%)
Experience: 2 years
Projects: 6+

About Me

My name is Dylan Trenck. I am a student at the University of North Florida studying Computer Science with an expected graduation of August 2026. I am passionate about solving hard problems, expanding my breadth of knowledge and working with emerging technologies. I enjoy playing guitar, training Mixed Martial Arts, or going to the beach during my free time. I was originally born in Norwalk, Connecticut and moved to Tampa, Florida in 2012. I have a specific interest in Machine Vision systems as well as Multi-Modal Machine Learning/AI. I've always been fascinated by the aerospace industry and hope to one day work in this field developing software for space exploration.

Projects

Portfolio Website

This is a project I made to showcase some of my work and abilities using HTML/CSS and JavaScript.

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HighlightHub

HighlightHub is a passion project I've been working on since it's ideation in November 2024. It is a machine learning model that detects highlight moments in videos through the analysis of audio and temporal attributes as well as reinforced learning. It is a system I've designed to help content creators / streamers find highlight moments in their content in real-time to be used for short-form content creation.

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Advertisement Prediction Engine

This is a project I led during my internship at Sporelogic as a Software Engineer. It is a machine learning model that predicts the success of advertisements based on the audio and transcriptional attributes of a video advertisement.

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Contact

I am currently seeking internships or opportunities for the Summer of 2026 that might aid in my transition from Student to Software Engineer. Please feel free to reach out via email using the button in the bottom right or get connected with me on LinkedIn.