I have a deep understanding and experience of using AI for almost two decades both in theory and practice.
My PhD studies gave we a wide and deep understanding of the underpinning of modern AI algorithms. This together with my life long interest in coding and software development gives me a solid foundation for brining your data to life and to get true value from it.
PhD, Artificial Intelligence
Developed efficient computational methods for Bayesian statistical inference in 16 peer-reviewed publications. Thesis title: Accelerating Monte Carlo methods for Bayesian inference in dynamical models. Two years of postgraduate coursework in statistics, probability theory, machine learning and automatic control.
Machine LearningBayesian StatisticsMarkov Chain Monte CarloSequential Monte CarloBayesian OptimizationRead my PhD Thesis
Google Cloud Professional Machine Learning Engineer
A Professional Machine Learning Engineer builds, evaluates, productionizes, and optimizes ML models by using Google Cloud technologies and knowledge of proven models and techniques. The ML Engineer handles large, complex datasets and creates repeatable, reusable code. The ML Engineer considers responsible AI and fairness throughout the ML model development process, and collaborates closely with other job roles to ensure long-term success of ML-based applications.
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Google Cloud Professional Data Engineer
A Professional Data Engineer makes data usable and valuable for others by collecting, transforming, and publishing data. This individual evaluates and selects products and services to meet business and regulatory requirements. A Professional Data Engineer creates and manages robust data processing systems. This includes the ability to design, build, deploy, monitor, maintain, and secure data processing workloads.
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