Mayowa is a cloud data practitioner and machine learning engineer with over 6 years
of hands-on experience designing, securing, and scaling data infrastructure across some of the most demanding environments in finance, retail, healthcare, and technology, with clients and institutions spanning the United Kingdom and beyond.

What sets Mayowa apart is a rare ability to operate fluently across the full data stack, from raw ingestion and pipeline architecture to predictive modelling and executive-level insight delivery while keeping security and data integrity at the centre of every decision. This is not a perspective borrowed from textbooks; it is earned from building real-time fraud detection systems, hardening cloud analytics platforms, and leading cross-functional teams through complex, high-stakes data transformations.

Currently with Amdari in the United Kingdom, Mayowa works with global clients across banking, retail, and technology to design ML pipelines and cloud data architectures that are production-ready, scalable, and resilient. Previous roles at Vista Technologies and Classic Systems Infotech reinforced a career-long conviction that the greatest risk in any data system is not what you know is broken, it is what you have silently trusted without question.

Mayowa holds an MSc in Automation, Control and Robotics from Sheffield Hallam
University (UK), is a certified Full Stack Data Science practitioner, and has contributed to peer-reviewed research in intelligent systems and applied machine learning. As a former academic who supervised AI research and delivered university-level instruction in Python, SQL, and data engineering, Mayowa brings a clarity of communication to technically complex topics that makes them accessible, urgent,
and immediately applicable.

A firm believer that security is everyone's problem and data is everyone's responsibility, Mayowa brings to BSides Brighton a talk that challenges the audience to stop trusting their pipelines and start proving them.