Laura Sevilla-lara is a Reader (Associate Professor) at the University of Edinburgh with a six-year track record bridging cutting-edge computer vision research and practical software development. Her career spans top research institutions and industry labs—including Facebook, Max Planck, Adobe, and Apple—where she applied deep learning to problems from accessibility to automatic video editing. She leads and mentors in academia, recruiting PhD students in computer vision and deep learning while maintaining hands-on engineering skills evidenced by backend contributions to open-source projects like the Talawa API. Comfortable across research and production, she has implemented authentication, MongoDB schema design, and media upload features that demonstrate pragmatic API design alongside scholarly impact. Based in the UK and trained at UMass Amherst and Brown, she combines rigorous PhD-level research with fast learning and a strong work ethic. A subtle strength is her ability to translate complex vision models into usable tools and services that benefit both research and real-world users.
6 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at University of Granada, Spain
Master’s Degree Computer Science, Master’s Degree Computer Science at Brown University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Massachusetts Amherst
API Backend for the Talawa Mobile App. Click on the link below to see our documentation
Role in this project:
Back-end Developer
Contributions:6 reviews, 352 commits, 55 PRs in 11 months
Contributions summary:Laura primarily focused on back-end development for the Talawa API, including the implementation of authentication, database integration, and REST API design. The user added features like user signup, login functionality, and organization management capabilities, demonstrating a strong understanding of API design principles. The user also implemented support for MongoDB, incorporating schema design and data modeling into the backend system. Furthermore, the user implemented user image uploads, adding capabilities to upload and associate images with both users and organizations.
Contributions:1 commit, 6 PRs, 254 pushes in 1 day
apiexpressmobile-appbackendnodejs
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