Alexander Mead
Software Engineering | Astrophysics | Machine Learning

Software Engineering

I am currently the Technical Product Manager at Cineon where we are developing the Empathic Learning Engine, ELE, which infers a user's emotional state via eye-tracking data. The requisite eye data is gathered using virtual-reality headsets. I lead a team of Software Engineers and Data Scientists to deliver the product vision within the ever-changing and frenetic atmosphere of a startup. I instil within my team a culture of rigorous design, testing, and documentation. We work in an agile way, with a customer-first perspective.

I previously worked as the lead software engineer at digiLab a deep-tech startup that specialises in the quantification of uncertainty. I oversaw a team of software engineers and data scientists who developed the twinLab software, a low-code machine-learning platform that is able to train AI models that quantify the uncertainty in their predictions. My team worked on the full stack, from the various customer-facing frontends to the serverless cloud infrastructure that trains and runs the models. My team also oversaw the scientific programming required for the library; adding new features and updating algorithms to improve performance. I also contributed to and ran data-science projects for clients in safety-critical industries where quantified uncertainty is paramount.