Ndi Betrand

I am a results-driven and versatile software engineer with hands-on experience across data science, backend development, and mobile application development. My expertise lies in building scalable backend systems using Java and Spring Boot, developing intuitive mobile applications for Android, and applying machine learning and statistical modeling to solve real-world problems. I have a proven ability to work across the full software development lifecycle, from data analysis and API development to user-facing mobile interfaces.

Throughout my career, I have built deep learning models using TensorFlow and Keras, achieving 85% accuracy in predicting maternal health risks. I have contributed to the development of microservices and implemented secure user authentication and role-based access control. My commitment to writing clean, maintainable, and high-performance code is evident in my work, where I have optimized PostgreSQL queries and participated in Agile sprints to ensure code reliability and quality.

Passionate about leveraging technology to drive innovation, I continuously seek opportunities to enhance my skills and contribute to impactful solutions. I thrive in collaborative environments and am eager to tackle challenging projects that make a difference.