Background
Academic foundations across IT, Big Data, and applied research.
Advanced study in big data technologies, cloud platforms, machine learning pipelines, statistical analysis, and data visualization. Practical focus on building production-grade data systems.
Undergraduate degree covering software engineering, networking, databases, web development, and programming fundamentals. Awarded by London Metropolitan University through Islington College.
Curriculum
Research & Publications
Contributed to a NASA-supported initiative by analyzing solar eclipse data using Python and OpenCV. Developed a specialized image alignment tool to facilitate large-scale imagery processing. Collaborated across a multidisciplinary team to support data preparation and project goals.
Presented as a poster at the NoBugs Conference 2022 at Paul Scherrer Institute, Switzerland. Covered the development of unified control software for multiple X-ray photon detector systems used in advanced physics research.
Technical poster published via ResearchGate documenting the MYTHEN II single photon-counting microstrip detector - a high-precision scientific instrument used in synchrotron experiments.