Rafael Moraes
Intelligent Automation Lead
San Diego, California, Canada
Summary
👤
Senior🎓
Top SchoolRafael Moraes is an Intelligent Automation Lead with nine years of experience applying machine learning, deep learning, and full-stack development to deliver AI-powered solutions across public and private sectors. Having transitioned from chemical engineering to an MSCS-backed AI career, he combines engineering rigor with hands-on expertise in NLP, computer vision, predictive modeling and generative models. He has driven applied AI projects at Agriculture and Agri-Food Canada and built GenAI and GCP solutions for industry clients, now leading automation work at Intouch Insight from San Diego. An active practitioner who documents work on GitHub, Rafael is as comfortable prototyping research-grade models as he is productionizing them for cross-functional teams. Notably, his background blends formal ML study with practical cloud and deployment experience, enabling rapid translation of models into impactful products.
9 years of coding experience
2 years of employment as a software developer
Algonquin CollegeMaster of Engineering - MEng Chemical Engineering, Master of Engineering - MEng Chemical Engineering at Newcastle University
Github Skills (12)
touchpad10
gesture-recognition9
java8
spring8
gesture6
linux6
gestures6
citations5
python4
google-scholar4
pythonic3
latex2
Programming languages (3)
Github contributions (5)
mmoraes-rafael/gtsrb_resnet
Oct 2018 - Oct 2018
Contributions:20 commits, 12 pushes, 1 branch in 1 day
mmoraes-rafael/project-euler
Jan 2017 - Mar 2018
Contributions:6 pushes, 1 branch in 1 year 2 months
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