Tola is a seasoned full-stack engineer and AI field architect with deep experience building and modernizing enterprise software platforms.
Having worked across organizations such as Pivotal and Red Hat, she brings strong expertise in Java development, Kubernetes-native architectures, and the practical realities of modern cloud platforms. Her background spans software engineering, machine learning, and data science, enabling her to bridge application development, AI systems, and platform infrastructure.
Throughout her career, she has worn many technical hats, including team lead, primary developer, and principal architect across both public and private sector environments. She has helped design and deliver complex systems operating at enterprise scale while guiding teams through evolving technology landscapes.
Today, as an AI field engineer, she works with organizations to translate emerging AI capabilities into production-ready solutions. Her focus is on helping enterprises modernize applications, operationalize machine learning, and integrate generative AI into existing software ecosystems.
Grounded in practical engineering, she partners closely with platform teams and developers to ensure AI-driven modernization efforts are secure, scalable, and aligned with real operational needs.
