Raimondi Raimondi
Solutions Architect at Making Sense LLC
Toronto, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolRaimondi Raimondi is a Solutions Architect based in Toronto with 14 years of hands-on experience designing and delivering scalable systems across .NET, Java, JavaScript frameworks, and cloud platforms (AWS/Azure). He blends technical leadership and developer mentoring with a persistent love of coding, routinely stepping into code to prototype or optimize solutions while guiding teams on architecture and process improvements. His track record includes supporting a Fortune-500 client for over four years, creating company-wide branching strategies, and designing distributed architectures that became standard for high-scale projects. An active open-source contributor, he has improved utility libraries and polished demo workflows for ML-related repos, showing attention to developer experience and documentation. Fluent in English and Spanish, he’s known for curiosity-driven learning and an experimental approach to safer innovation that balances risk with measurable gains. Colleagues rely on him for pragmatic technical direction that turns complex requirements into operational, auditable systems.
14 years of coding experience
6 years of employment as a software developer
Engineer's Degree, Systems Engineering, Engineer's Degree, Systems Engineering at Universidad FASTAIndependent Coursework
English, Spanish
Stackoverflow
7,746reputation
764kreached
63answers
59questions
gruntjs
top-5%
youtube-api
top-5%
youtube
top-5%
javascript
top-5%
angularjs
top-5%
datetime
top-5%
Github Skills (27)
javascript10
python10
image-processing10
underscorejs10
underscore10
manipulation10
google-colab10
manipulate10
youtube-api9
ffmpeg9
testing9
datetime9
gruntjs9
youtube9
machine-learning9
Programming languages (15)
Github contributions (5)
baowenbo/DAIN
Mar 2020 - Jun 2020
Depth-Aware Video Frame Interpolation (CVPR 2019)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 reviews, 21 commits, 6 PRs in 3 months
Contributions summary:Raimondi primarily contributed to a Python-based project, focusing on improving a demo Colab notebook for video frame interpolation. Their work involved refactoring the code, optimizing performance by removing unused variables, and adding features like time estimations and image progress indicators. They also made significant changes to the notebook's configuration, enabling manual resuming and better integration with Google Drive for input and output.
frameoptical-flowcomputer-visiondepthvideo-frame
documentcloud/underscore-contrib
Sep 2014 - Sep 2014
The brass buckles on Underscore's utility belt
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:12 commits in 12 days
Contributions summary:Raimondi primarily focused on enhancing the functionality of the `underscore-contrib` library by implementing features related to object selection. They added support for composite paths in `_.hasPath` and `_.getPath`, allowing for more complex property access. Additionally, the user fixed a Grunt configuration issue and updated documentation to reflect the new features. The commits demonstrate a focus on improving utility functions and ensuring accurate documentation.
beltunderscore
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