Graduate Software Developer specializing in backend web, mobile and IoT applications. Completed notable projects, including an AI/ML-enhanced drowsiness detection system and web-hybrid Flutter-based applications. Seeking opportunities in web software development, Azure Cloud, and backend engineering.
Developed a hybrid To-Do list application using Dart & Flutter, focusing on a user-friendly interface and integration with a REST API. Persisted data using mySQL hosted on XAMPP for a database.
Integrated motion-sensing and a variety sensors into a ESP32C3 board powered by a Li-ion battery pack, enabling real-time data acquisition and telemetry.
Designed a system to monitor driver alertness using machine learning models(HMM) applied to raw sensory data, trained and deployed a real-time detection ML model and a user-friendly UI for displaying results.
This project features a simple express.js app, except this time, it's purpose is to demonstrate my ability to setup, connect and deploy containers using Docker. Additionally, it featres the use of API naming conventions, health and documentation endpoints, and implementing Swagger UI decorators.