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 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.
Check out my current favorite media here.
Contact & Links
Snake
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–)
Evaluating Olympiad-level proofs, assessing complex reasoning and providing detailed written feedback. Collaborating with other graders to standardize scoring and ensure consistency across submissions.
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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 Project
Selected for She Is The Music's competitive mentorship program as a music tech mentee under Anna Skelsey, I developed a music analytics platform to visualize creative networks, uncover contributor relationships, and identify derivative links between songs to support A&R insights and catalog strategy.
Projects
Developed and optimized a plagiarism detection system using TF-IDF vectors, cosine similarity, and n-gram models. Verified research findings on trigram-based detection, implemented multiprocessing to reduce runtime by 80%, and adjusted vectorization to improve F-scores while minimizing false positives across large text corpora.
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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Client Website Development Projects
Built responsive portfolio sites for photographers and visual artists using React, Tailwind CSS, and JavaScript. Emphasized interactive UI components and tailored visual layouts.
Proposed that Kering invest in branded digital fashion toolkits for UGC platforms like Roblox and Fortnite, offering customizable avatar assets, textures, and templates to engage players, expand brand presence in virtual economies, and generate new revenue through creator royalties.
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.