HABBIE MARIA EUGENE

Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

Drunken Drive Detector prototype, Designed and executed a Drunken Drive Detector prototype. Rigorously tested and refined the prototype to enhance accuracy and reliability. Showcased innovation in addressing real-world issues through technology. This project reflects my commitment to leveraging technical expertise for practical, impactful solutions. E-Wardrobe platform, 

E-Wardrobe platform allowing users to effortlessly update and organize clothing images. Implemented an intelligent matching system utilizing computer vision, ensuring perfect outfit suggestions for various occasions. This project highlights my ability to bridge technology and user needs for a practical and enjoyable online experience.

Image Captioning using LSTM and CNN model, based on CNN-LSTM neural networks which automatically detects the objects in the image and
generates description for the images. The main goal is to create a highly accurate and efficient image captioning system that can assist visually impaired individuals by providing real-time descriptions of their environment.

• Foundations: Data, Data, Everywhere, COURSERA - 2023
• Live Coding Workshop, CUVETTE - 2023
• Python Data Structures, COURSERA - 2024
• AWS Cloud Technical Essentials, COURSERA - 2024

Developed strong adaptability and problem-solving skills through extensive travel across various regions, navigating different environments and challenges.