Santiago Quihui
@santiagoquihui
Fullstack developer specializing in AI and mobile app development.
What I'm looking for
I'm a passionate fullstack developer with a strong foundation in artificial intelligence and mobile app development. Currently pursuing my MSc in Artificial Intelligence at the University of Essex, I have honed my skills through hands-on experience in various projects and roles. My academic journey has been complemented by practical work, where I have successfully designed and developed applications that enhance user experiences and streamline operations.
At Xantolo Nightclub, I played a pivotal role in creating a cross-platform app using Flutter, significantly improving code maintainability and reducing development time. My experience at Capa Labs further solidified my expertise in frontend development, where I led the creation of a high-performance savings account app. I thrive in collaborative environments, working closely with backend engineers to optimize application performance and user engagement.
Experience
Work history, roles, and key accomplishments
Fullstack Developer
Xantolo Nightclub
Jul 2021 - Present (4 years 2 months)
Designed and developed the initial iOS app using SwiftUI, integrating Firebase Authentication, Firestore, and serverless functions for real-time VIP bookings. Rebuilt the app as a cross-platform solution using Flutter, increasing codebase maintainability and halving development time for new features.
Frontend Developer
Capa Labs
Jun 2022 - Present (3 years 3 months)
Led frontend development of the MVP for a USDC-based savings account startup, delivering a secure, high-performance cross-platform app using Flutter. Collaborated with backend engineers using GraphQL to design efficient queries and mutations, reducing app load times by over 40%.
Education
Degrees, certifications, and relevant coursework
University of Essex
MSc in Artificial Intelligence, Artificial Intelligence
2024 -
Pursuing a Master of Science in Artificial Intelligence, focusing on advanced topics in AI and machine learning. Expected to complete the program in June 2025.
Tecnológico de Monterrey
B.S. in Computer Science and Technology Engineering, Computer Science and Technology Engineering
2021 - 2025
Grade: 95/100
Completed a Bachelor of Science in Computer Science and Technology Engineering, achieving a GPA of 95/100. Awarded an Academic Talent Scholarship for outstanding academic performance.
Availability
Location
Authorized to work in
Job categories
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