Rafael Veras
Machine Learning Engineer at TD Insurance
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolRafael Veras is a Machine Learning Engineer with a PhD in Computer Science and 14 years of experience applying research-grade methods to production ML and tooling. He builds infrastructure and experimental prototypes that span ML, motion sensing, web and mobile to validate new user experiences, and has published in top venues such as ACM CHI, IEEE TVCG, and NDSS. After research roles at Huawei and internships at Microsoft, he helped operationalize ML at Layer 6 and now applies that domain expertise at TD Insurance. Known as a generalist who moves quickly from hypothesis to prototype, he combines rigorous HCI research instincts with practical engineering to make complex models and data visualizations usable in production.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Ontario Tech UniversityBachelor Computer Science, Bachelor Computer Science at Universidade Federal do Pará
Github Skills (93)
cracking10
slideshow10
phonetics10
slide10
linguistics10
morse-code10
passwords10
reveal10
reveal-js9
color-scheme9
ssh-agent9
nlp9
testing9
security9
deep-learning9
Programming languages (7)
Github contributions (5)
vialab/semantic-guesser
Feb 2012 - Sep 2019
Training and testing of linguistic passwords models.
Contributions:292 commits, 81 pushes, 4 branches in 7 years 7 months
nlppasswordssecuritytestingphonetics
rafaveguim/twitter-dialog-hunter
Nov 2017 - Feb 2018
Listens to the Streaming API and finds dialogs in timelines.
Contributions:22 commits, 15 pushes, 1 branch in 3 months
apiconversationstreamingdialogsstreaming-api
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