Miguel Alvarez

I’m a student of Computer and Telecommunications Engineering with an interest in developing technology solutions with social impact. I’ve built experience across full-stack development, databases, and cross-platform applications, with a particular focus on Flutter for mobile development.

In my Full-Stack Web Development Intern role, I contribute to EVAMED, a web platform for calculating energy consumption and carbon footprint of construction projects. I work with Angular, Django, and PostgreSQL, Dockerize the full application stack, and help improve backend performance through optimized API calls and database pagination. I also streamline UX by auditing and removing redundant confirmation dialogs to simplify user flows across key modules.

On my Golf Swing Analyzer project, I built an end-to-end wearable sports analytics system that connects an ESP32-C3 IMU sensor (via BLE) to a Flutter Android app and a Dockerized FastAPI backend. I designed the data pipeline in firmware (C++), Python-based swing segmentation and 19-feature extraction, and a Random Forest classifier (76.2% LOOCV accuracy), then exposed it as a REST API with SQLite persistence. In the app, I implemented real-time feedback such as live angular velocity charts, automatic swing detection, and a relabeling flow to retrain the model on new data.

I’m especially motivated by frontend/backend integration, databases, and cross-platform solutions that feel usable and accessible. As a fast learner with strong technical adaptability and a social-impact focus, I enjoy building technology that supports communities and strengthens digital communication.