I am a seasoned IT professional with over 25 years of experience, specializing in DevOps, Linux system administration, and computer networking. Since 2012, I have been working with international clients on a wide range of infrastructure and operations projects, helping them build reliable, scalable, and secure systems. My long-term focus on Linux environments and deep understanding of networking protocols have allowed me to deliver stable and maintainable solutions, even in highly demanding environments.
Throughout my career, I have gained hands-on experience with system automation, infrastructure as code, CI/CD pipelines, containerization, and cloud-native tools. I have worked in both startup and enterprise environments, always aiming to understand the unique needs of each project and deliver results that exceed expectations. I take pride in being dependable, methodical, and detail-oriented. I believe that clear communication, strong documentation, and consistency are just as important as technical skills.
In addition to my core DevOps expertise, I have a strong interest in machine learning and its practical applications. To deepen my understanding of this field, I completed a series of courses offered by DeepLearning.AI on the Coursera platform. These courses have given me a solid foundation in key machine learning concepts, tools, and workflows. While I do not consider myself a full-time ML engineer, I am always exploring ways to integrate data-driven approaches into infrastructure and operational strategies.
My professional journey is driven by a desire to continuously improve — both technically and as a contributor to any team I work with. I enjoy mentoring junior engineers, documenting best practices, and introducing automation wherever it creates lasting value. I value long-term collaboration and take ownership of the systems I help build and maintain.
I am currently looking for remote opportunities where I can apply my deep experience in DevOps and infrastructure, contribute to meaningful projects, and continue growing in both traditional and emerging areas of technology.