About
My name is Juliette Mangon. I’m a Computer Science and Mathematics student at NYU passionate about how technology can support creative expression and connect people working across media-driven fields. I’m especially interested in building systems — interfaces, platforms, or algorithms — that are intuitive and thoughtful in how they shape user experience.
Outside of tech, I care deeply about the environment and how innovation impacts sustainability. I also love to paint in my free time.
Current Favorite Media
Albums: 333, This Is Happening, Five Dice, All Threes, Punisher
Movies: Léon: The Professional, Call Me by Your Name, Parasite
TV: Money Heist, Killing Eve, Girls
Resume
Education
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B.A. in Computer Science and Mathematics, NYU (2023–2025)
Coursework: Natural Language Processing, Operating Systems, Real Analysis, Topology.
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Minor in Business of Entertainment, Media, and Technology
Coursework: Entertainment & Media Industries; Business of Film; Video Games; Globalization of Media.
Work Experience
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AI/ML Intern, Enlaye (2025)
Built an LLM-based query preprocessor for Enlaye’s contract AI platform, optimizing performance via prompt-engineering tests.
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Website Developer, Tryst Restaurant (2025)
Rebuilt the restaurant’s site with HTML/CSS/JS, boosting load speed, mobile UX, and SEO rankings.
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Photoville Intern, Regenerating Inc. (2024)
Developed an AI-powered SwiftUI photo editor using OpenCV; led Figma UI design and competitive feature analysis.
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USA Mathematical Talent Search Grader, Art of Problem Solving (2023–)
Graded national math contest entries, evaluating rigor and providing detailed feedback to students.
She Is The Music Mentorship
Selected for She Is The Music’s program under Anna Skelsey, developing a music-tech project for an industry panel.
Technical Projects
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Custom Portfolio Websites
Built responsive React/Tailwind portfolio sites for artists, focusing on interactivity and clean storytelling.
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Plagiarism Detection Enhancement Project
Engineered an NLP plagiarism detector with TF-IDF & Word2Vec; improved precision via iterative tuning.
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Ad Hoc Information Retrieval System
Created a TF-IDF/cosine-sim engine to match 225 queries against 1,400 abstracts; measured with MAP scores.
Skills
- Java, C++, C, Python, JavaScript, React, HTML, CSS, MATLAB, Haskell, Assembly, BASIC
- Git, GitHub, Docker, Figma, LaTeX, Unix/Linux, Excel, Google Suite, Node.js, NPM, Vite
- English, French, Spanish (Conversational)