Trevor Markevicz
Bridging the gap between formal logic and human behavior.
Exploring cybersecurity, systems design, and the linguistic patterns that define how we navigate technology.
The Intersection
I am a Computer Science and Linguistics student interested in the systems we build and the languages—both natural and artificial—we use to navigate them.
Whether auditing code for security or analyzing text for linguistic fingerprints, I look for the "why" behind the data. I believe the most resilient systems
are designed with a deep understanding of human cognition and communication.
Featured Work
Linguistic Fingerprinter
Applying machine learning to stylometry and author identification.
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The Thesis
Individual syntax is as unique as a biological fingerprint. Software can quantify the "human" in the text.
The Approach
Utilized Adversarial Feature Selection and
MATTR
to extract stylistic markers.
to extract consistent stylistic markers across different mediums.
The Result
A cross-medium engine capable of identifying authorship patterns with high confidence, bridging computational linguistics and security.
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Academic Tracker CLI
An intentional terminal interface for high-stakes prioritization.
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The Thesis
When everything feels urgent, nothing is. Systems should reduce cognitive load, not add to it.
The Approach
Integrated a unified calendar and task engine into the developer’s native environment (the CLI) to eliminate context-switching.
The Result
A system that doesn't just list tasks, but shapes how decisions are made under academic pressure.
View Source ↗
Technical Stack
Languages
Python · Java · C/C++ · Bash
Environment
Linux · Git · CLI-first workflows
AI/ML Stack
Python 3.10+ · spaCy · scikit-learn · SHAP · FastAPI · Plotly · joblib
Research Interests
Stylometry · Adversarial Feature Selection · Cybersecurity
Linguistic Sandbox
Real-time Lexical Diversity Analysis (Type-Token Ratio)
Lexical Diversity (TTR): 0.00
Word Count: 0