Andres Dorado is a Delivery Architect and technology thought leader with a track record of building high-performing data and analytics teams for large public and private organizations across Canada and internationally. With over a decade of hands-on experience designing data lakehouse architectures, enterprise data catalogs, and AI-powered platforms, he has led multi-million-dollar programs that delivered regulatory compliance, operational savings, and scalable analytics products. He pairs deep technical expertise in ML/AI and data engineering with executive-level program leadership—having shaped city-wide data hubs, award-winning open data portals, and federal workforce training certificates. Andres has moved projects from RFP through transition to operations at organizations including Enbridge, the City of Edmonton, and Capgemini, often blending onshore-offshore delivery models to meet quality and cost goals. He is also an educator and curriculum designer who has created industry-aligned certificates and programs used by hundreds of learners, and is currently expanding his interests into French and robotics.
5 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.) Education, Master of Science (M.Sc.) Education at Pontificia Universidad Javeriana
Doctor of Philosophy (Ph.D.) Electronic Engineering, Doctor of Philosophy (Ph.D.) Electronic Engineering at Queen Mary University of London
A very fast and low memory usage C++ automaton tokenizer that breaks an input string into a list of tokens looking at tabs, spaces, new lines, and detects special tokens like numbers, prces, personal noms, emails, lexemes, etc. It allows to specify delimeters, detect special cases and change to lowercase the tokens.
Contributions:2 PRs, 2 pushes, 1 branch in 2 years 7 months
Contributions:70 commits, 61 pushes, 2 branches in 8 months
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