Anteneh Tilaye

I am Anteneh Tilaye, a proficient software engineer based in Adama, Oromia, Ethiopia, with extensive academic and professional experience. I hold a Bachelor's degree in Software Engineering and a Master's degree in Computer Science and Engineering from Adama Science and Technology University, where I achieved CGPAs of 3.86 and 4.00, respectively. My master's thesis focused on object detection for mobile robot navigation, highlighting my expertise in advanced technology.

Professionally, I have held various roles that demonstrate my versatility and skills. As a Full Stack Developer at I-Capital Africa Institute, I developed a parking solution mobile app using Flutter and Laravel. In my role as a Remote Software Engineer at KAIST NCLab, I contributed to a real-time video communication and screen-sharing Android app using Kotlin and WebRTC.

During my data science internship at 10 Academy, I worked on Twitter Data Analysis and user analytics for a telecom company, using Python, SQL, CSS, and Streamlit. As a Web Developer at Gebeya.com, I created "IStore," a web application for online store creation using PHP, Laravel, and JavaScript.

In my freelance work, I developed a web-based spin wheel game and a student and grade management system for Tossa College, utilizing PHP, CodeIgniter, JavaScript, and MySQL. As a Lecturer at Adama Science and Technology University, I developed a project and publication management system and co-advised research projects on GANs and hyperspectral image classification.

Earlier in my career, I served as a Research and Academic Assistant at Adama Science and Technology University, working on object detection for mobile robot navigation and an AI-powered place recognition app using Python, TensorFlow, and OpenCV. As a Junior Software Engineer at Neuronet Addis Ababa, I worked on mobile application development and web-based application testing.

I have published notable research, including a review on object detection techniques and a study on hyperspectral image classification. I hold certifications from the NVIDIA Deep Learning Institute and have trained at the Deep Learning Indaba X 2021 International Conference.

My technical skills encompass frameworks and tools such as TensorFlow, Keras, OpenCV, Laravel, Django, Flutter, ROS, and MySQL, and programming languages including JavaScript, Python, Kotlin, Java, C++, C, Dart, HTML5, PHP, and SQL. Fluent in Amharic, Afan Oromo, and English, I am known for my strong analytical and problem-solving abilities, effective communication, adaptability, and motivation.

My diverse experience, academic excellence, and commitment to continuous learning position me as a highly capable and valuable professional in software engineering and technology innovation.