About Me
I'm a first-generation Cuban-American and a Senior Front-End Engineer passionate about building intuitive, high-performance web applications.
I'm also a proud Florida International University (FIU) Alumni, Class of 2018. With expertise in React, TypeScript, and modern front-end architecture, I craft seamless user experiences that balance functionality and aesthetics. Whether it's optimizing performance, designing scalable UI components, or integrating cutting-edge technologies, I thrive on turning ideas into polished digital products. My passion for innovative software engineering is fueled by my love for creating solutions to real-world problems and continuously building and improving impactful tools.
Beyond coding, I'm a travel enthusiast with a love for the great outdoors. You can find me camping, fishing, or simply enjoying the beach.
Explore my work, and feel free to reach out—I'd love to connect!
Experience

Warner Bros. Discovery
Apr 2022 - Dec 2024
Software Engineer III
- Developed and maintained the Skybridge Self Service Portal using React, streamlining partner onboarding and integration for Max.
- Implemented a robust front-end architecture with React, Axios, and Jest, enhancing code quality and CI/CD practices.
- Developed and tested gRPC functions using Protocol Buffers for seamless backend integration.

WarnerMedia
Jun 2021 - Apr 2022
Software Engineer II
- Developed AVOD/SVOD stream plans for HBO Max using React, improving localized text implementation for global markets.
- Enhanced the HBO Max Account Provisioning Tool with responsive UI and batch user creation support.
- Built a proof-of-concept for Face Recognition Technology using AWS Rekognition and React.

HBO Latin America
Jun 2019 - Jun 2021
Software Engineer
- Led full-stack development for an asset management system using MongoDB, Okta, .NET Core, and Angular.
- Developed HBO Galaxy CMS, a hybrid content management system for account provisioning across multiple platforms.
Projects

Lucky Lotto


Fishly
Fishly is a fishing companion app providing real-time fishing insights, catch logging, and location-based recommendations. When complete, it will feature an interactive map for pinning fishing spots, tracking catches, and analyzing trends over time. Built with Next.js, React, Tailwind CSS, and Neon DB, it leverages Next.js API routes for seamless data handling.


HBO Max AVOD/SVOD

AWS Rekognition POC
This POC demonstrated the feasibility of automated facial recognition for content categorization and metadata enhancement.
Education

Florida International University
2014 - 2018
Bachelor of Science in Information Technology

Miami Dade College
2014 - 2016
Associate of Arts in Computer Science