I bring over nine years of professional experience across industry, research, and academic environments, with a strong foundation in software development, backend systems, and data-driven applications. For more than eight years, I worked in industry roles where I contributed to designing, building, and maintaining scalable applications using Java, Spring Boot, SQL, and cloud platforms. These experiences allowed me to collaborate closely with cross-functional teams, translate business requirements into technical solutions, and support systems used in real-world production settings.
My professional journey has helped me develop a disciplined approach to problem-solving, clean code practices, and system design. I have experience working with cloud-based architectures, RESTful services, and enterprise applications, and I value writing code that is not only functional but also maintainable and reliable. Along the way, I have learned the importance of adaptability, clear communication, and continuous learning in fast-paced technical environments.
Currently, I am further expanding my expertise through a Master’s degree in Artificial Intelligence and Business Analytics. In addition to my studies, I have gained hands-on experience as a research assistant for nine months and as an intern in Tampa, where I applied analytical and technical skills in both academic and practical settings. These roles have strengthened my interest in combining software engineering with analytics and AI-driven solutions. I am motivated by opportunities where I can contribute my industry experience while continuing to grow academically and technically, and I look forward to working on impactful, data-driven projects.