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 and spend time outdoors.
Check out my painting portfolio here.
Current Favorite Media
Contact & Links
Resume (PDF)
Education
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B.A. in Computer Science and Mathematics, NYU (2023–2025)
Coursework: Algorithms, Applied Internet Technology, Computer Systems Organization, Natural Language Processing, Numerical Computing, Operating Systems, Real Analysis, Theory of Probability.
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Minor in Business of Entertainment, Media, and Technology
Coursework: Entertainment & Media Industries, Globalization of the Entertainment Industry, Business Structure of the Music Industry, Business of Film, Business of Video Games.
Work Experience
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AI/ML Intern, Enlaye (2025)
Working on the agentic architecture of Enlaye's AI-native contract platform, building data-driven query preprocessing and multi-agent reasoning systems deployed on AWS.
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Website Developer, Tryst Restaurant (2025)
Rebuilt the restaurant’s site with HTML/CSS/JS. Improved UX through responsive layouts, added SEO optimizations, and enhanced accessibility and performance.
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USA Mathematical Talent Search Grader, Art of Problem Solving (2023–)
Graded national proof-based math contest entries, evaluating rigor and providing detailed feedback.
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Photoville Intern, Regenerating Inc. (2024)
Developed an AI-powered SwiftUI photo editor using OpenCV; assisted Figma UI design and competitive feature analysis.
Connect TogetHER Music Tech Mentorship
Selected for She Is The Music's mentorship program under Anna Skelsey, developing a data infrastructure to map song ownership, contributor roles, and derivative relationships, enabling clearer rights attribution and legal insight.
Projects
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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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Spotify Listening Behavior Case Study 🔗
Explored Spotify’s use of machine learning in personalized recommendations, playlist curation, and user engagement features like Wrapped, with analysis of licensing models, AI risks, and global platform strategy.
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Custom Portfolio Websites
Built responsive portfolio sites for photographers and visual artists using React, Tailwind CSS, and JavaScript. Emphasized interactive UI components and tailored visual layouts.
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Fashion in Video Games Proposal 🔗
Proposed that Kering invest in digital fashion tools for UGC platforms like Roblox and Fortnite to engage younger audiences and extend brand identity into virtual economies through branded templates and avatar assets.
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Ad Hoc Information Retrieval System 🔗
Built a TF-IDF-based ranking system to match 1,400 document abstracts to 225 custom queries. Used cosine similarity to determine relevance and evaluated system performance using Mean Average Precision to guide algorithm refinements.
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AI in Music Creation Analysis 🔗
Explored how generative AI is changing music creation, raising new questions about authorship, originality, and the role of human input in creative work.
Skills
- Languages & Frameworks: Python, Java, C++, C, JavaScript, React, HTML, CSS, MATLAB, Assembly
- Tools & Platforms: AWS, Git, GitHub, NPM, Vite, Docker, Unix/Linux, LaTeX, Excel, Google Suite, Ollama, APIs
- Spoken Languages: English, French, Spanish (Conversational)