Daniela Esaine

Computer Vision And Machine Learning Intern at Electronic Arts (EA)

Madrid, Community of Madrid, Spain
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Summary

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Senior
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Top School
Daniela Esaine is a computer scientist with nine years of hands-on experience building production software across games, research, and applied machine learning, currently interning in Computer Vision and ML at Electronic Arts. She combines a University of Toronto CS background and a master's in Computer Graphics, VR and Simulation with practical expertise in Unity/Unreal, AWS-backed backend systems, and data-driven Python tooling. Her work spans end-to-end pipelines—from designing telemetry schemas and datasets for ADHD VR therapy to architecting scalable game server infrastructure in Golang and C++—demonstrating a rare blend of research-minded rigor and production engineering. A proven team lead in Agile environments, she accelerates delivery through refactors guided by SOLID principles and clear documentation. Passionate about inclusive, sustainable tech, she intentionally designs experiences that serve diverse users and clinical collaborators. Based in Madrid, she pairs strong teaching experience with product sensibility, often translating academic findings into shipped interactive systems.
code9 years of coding experience
job5 years of employment as a software developer
bookComputational Science, Computational Science at Universidad de Ingeniería & Tecnología - UTEC
bookBilingual diploma, Bilingual diploma at International Baccalaureate
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Toronto
bookMaster's degree, Computer Graphics, Virtual Reality, and Simulation, Master's degree, Computer Graphics, Virtual Reality, and Simulation at U-tad
languagesEnglish, Spanish
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Github Skills (1)

3d3

Programming languages (4)

C#CSSCJavaScript

Github contributions (5)

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lilvedaes/esnaque

Jul 2018 - Apr 2019

Contributions:4 pushes, 1 branch in 9 months
Contributions:22 pushes, 1 branch in 5 days
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