Alex Moica

Ruby Developer III at Noo Speak

Hamilton, Ontario, Canada
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Alex Moica is a Ruby Developer III with eight years of hands-on full-stack experience, currently contributing to Fullscript and founding Noo Speak while based in Hamilton, Ontario. He combines backend expertise in Ruby and .NET with practical product delivery—from shipping a high-impact Outlook add-on at Clio to leading backend migrations and extensive test coverage at SOTI and Aversan. Alex has applied his skills beyond commercial projects, leading development of pathfinding algorithms for autonomous lunar rovers presented at the International Astronautical Congress and teaching full-stack web courses to high school students. Comfortable operating across teams and roles, he has also managed large budgets and stakeholder advocacy as president of McMaster’s Engineering Society. Known for improving system reliability and developer workflows, he pairs technical rigor (test automation, static analysis, performance tuning) with an entrepreneurial drive to build user-focused solutions.
code8 years of coding experience
job2 years of employment as a software developer
bookBachelor of Engineering with Co-op, Software Engineering, Bachelor of Engineering with Co-op, Software Engineering at McMaster University
languagesEnglish, Romanian, French
github-logo-circle

Github Skills (28)

segment3
routes3
customer-data-lake2
ruby2
customer-data2
customer-data-pipeline2
rudderstack2
clickstream2
singer2
pipeline2
sdk2
data-warehouse1
warehouse1
seek1
editor1

Programming languages (6)

TypeScriptCSSJavaScriptHTMLRubyPython

Github contributions (5)

github-logo-circle
Contributions:95 pushes, 1 branch in 6 years 4 months
alexmoica/Food-Identifier

Nov 2019 - Nov 2022

Machine learning applciation created to distinguish between a variety of fruits and vegetables. Based off of tensorflow and using the CIFAR-100 database for training images, this program takes accepts user inputted images through a tkinter GUI and identifies them by type of food.
Contributions:2 PRs, 28 pushes, 1 branch in 3 years
vegetablespythontype-oftrainingimage-classification
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Alex Moica - Ruby Developer III at Noo Speak