Ivan Figueroa
Software Developer
About me
Hello! I'm a Computer Science grad student at FIU building full-stack web and mobile apps. I'm currently working as a Full Stack Software Engineer Intern at Sports Excitement, where I contribute to the development of a social sports platform as part of an Agile Scrum team. I enjoy developing responsive interfaces and scalable APIs, and I'm passionate about writing clean, reliable code.
Techs I've been using recently:

Projects


RewardMe is a mobile rewards app prototype designed to strengthen student engagement at FIU. I contributed as a full-stack developer, implementing secure authentication, building RESTful APIs, and developing interactive mobile screens with React Native.
Experience and Involvement
Full Stack Software Engineer Intern
May. 2025 - Present
Sports Excitement
Contributing to the development of a global sports community platform, working on both front-end and back-end features. Collaborating with the team to implement innovative solutions using React.js, MongoDB, and modern web technologies in an Agile Scrum environment.

Project Coordinator
Aug. 2024 - Dec. 2024
AI4ALL
Mentored 5 student teams on machine learning projects, assisting with Python debugging, data preprocessing, and applying techniques such as regression and feature selection. Coordinated technical tasks to support successful project completion.

Guild Mentor
Dec. 2023
Break Through Tech
Served as a mentor for Break Through Tech Miami Winter Guild program, guiding a high school student team in designing and building a mobile app prototype for study group matching, all within a 5 day sprint.

Python Instructor Volunteer
Aug. 2023 - Dec. 2023
Paul Bell middle school
Taught Python programming and computer science fundamentals to 10+ middle school students through a volunteer-led program. Delivered hands-on exercises, games, and live coding demos to make coding engaging and build confidence in logic and problem-solving.

Hackathon Participant
Sep. 2023
Shellhacks 2023
Collaborated with peers to analyze a Spotify dataset and develop a music popularity prediction model using Python and machine learning libraries. Gained hands-on experience with data cleaning, visualization, and teamwork during a first-time hackathon.

IT Intern
May. 2023 - Jul. 2023
Memorial Healthcare System
Wrote Python scripts to assist with data migration during the transition from Lawson to Workday. Focused on parsing and formatting CSV invoice data, reducing manual entry and supporting cleaner system handoffs.
