Data, ML & AI Engineer with 3+ years of production experience spanning cloud infrastructure, machine learning, and data pipelines — from migrating 2,000 servers at Ericsson to building real-time analytics systems.
My journey into data science began with a foundation in building tangible things, from engineering firmware for 3D printers to developing full-stack web applications. This hands-on experience taught me that the best solutions come from understanding both the technical possibilities and the human needs.
My time at Ericsson as an Engineer, Cloud and Infra, where my team managed the migration of over 2,000 servers to GCP, taught me how to work with complex, large-scale systems. I learned that successful technology implementations require not just technical expertise, but also careful planning, stakeholder communication, and a deep understanding of business requirements.
I recently completed my Master of Science in Data Science at the University of Arizona (GPA: 3.75), where I combined my engineering background with a passion for data to build intelligent solutions. I believe the future belongs to those who can bridge the gap between complex algorithms and practical applications that solve real-world problems.
