I'm Timo Mulder, a bilingual Senior Machine Learning Engineer who is specialized in Natural Language Processing (NLP). I hold an MSc and BSc degree in Artificial Intelligence, and also have expertise in a variety of IT topics.
A problem that many AI developing organizations face is the engineering discrepancy between prototypes produced by their machine learning team and production code. During my day-to-day work, I've gained extensive experience in each stage of feature development processes, from the drawing table all the way to generating state of the art, customer facing content using scalable and efficient methods. The above image summarizes that niche.
Responsible for Talent Ticker's Machine Learning with a special focus on Natural Language Processing. Current projects involve language agnostic extraction of entities and their relations in business news to automatically annotate and publish articles.
I took responsibility for improving the core data extraction and classification pipeline, dealing with multiple Terabytes of data. I converted the messy prototypes that clients respectfully declined into an appealing product, paid six-figures per subscription for, with hundreds of active users. I also worked on research projects involving topic extraction, named entity disambiguation, document cleaning, and user query interpretation.
In households I installed new devices, performed maintenance on them or taught people how to use them. Devices most often included computers, tablets and smartphones.
I helped a small enterprise to expand their offer and grow. As a trainer I successfully taught three groups of 15 children aged between 10 and 12 how to program.
I helped up to 30 students and teachers per day with university related problems they had with their devices. I have also thrice provided technical support for exams.
First-class distinction, Specialisation: Machine Learning. Thesis: “Identifying Social Media Users Across Platforms and Highlighting Privacy Concerns”
2:1 degree Thesis: “Robot Learning of Social Path Planning Using a Simulator”