Justin Brooks
Technical Engineering Manager at Weights & Biases
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolJustin Brooks is a Technical Engineering Manager in Toronto with nine years of experience building cloud-native, ML-enabled systems and leading cross-functional engineering teams. He combines hands-on expertise in React/TypeScript, Go, and Python with production DevOps skills across Terraform, Kubernetes, Helm and multi-cloud platforms (GCP, AWS, Azure). At Weights & Biases he progressed from software engineer to manager, contributing to backbone platform stability and CLI/server tooling used by ML practitioners worldwide. His background includes machine learning research and a self-built web annotation tool for computer vision, reflecting a strong bridge between research and production. Justin is an active open-source contributor, adding bug fixes and feature work to notable projects like wandb and the coco-annotator, with attention to developer UX and error handling. He brings a pragmatic leadership style focused on shipping reliable systems, mentoring engineers, and reducing operational friction.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, GPA 87%, Bachelor of Engineering - BE, Computer Engineering, GPA 87% at University of Guelph
Stackoverflow
530reputation
471kreached
14answers
6questions
Github Skills (35)
debug10
javascript10
python10
back-end-development10
annotations10
image-annotation10
annotation-processing10
front-end-development10
vue10
web-development10
backend10
annotate10
vue-jsx10
dockers9
flask-ask9
Programming languages (12)
Github contributions (5)
jsbroks/coco-annotator
Sep 2018 - Sep 2020
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:40 releases, 2 reviews, 261 commits in 2 years
Contributions summary:Justin primarily contributed to front-end and back-end development for the web-based image segmentation tool. They implemented new features like annotation metadata, circle keypoints, a DEXTR tool, and category management and fixed bugs. The user also refactored the code and added user interface updates for annotations and settings.
image-segmentationkeypointsweb-basedcococomputer-vision
wandb/wandb
Jun 2020 - Jul 2022
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:7 reviews, 25 commits, 14 PRs in 2 years 2 months
Contributions summary:Justin primarily focused on improving the W&B platform's stability and functionality through bug fixes and enhancements. Their contributions include addressing errors related to data handling, particularly in the `wandb/data_types.py` and `wandb/sdk/internal/sender.py` files. The user also made changes to improve the platform's interaction with Kaggle environments, adjusting the server configuration and making updates to the CLI. Furthermore, they worked on refactoring the `wandb local` command to `wandb server` and improving the error messages.
pythoncollaborationtensorflowhyperparameter-tuningcli
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