Who I am
I'm a full stack developer with a background in AI and a love for building things that people actually use. I enjoy working across the stack — whether that's designing clean, responsive frontends or building out robust backend systems and APIs. I'm always curious, always learning, and always up for a challenge.
I recently co-founded and built a stealth-mode SaaS platform helping golf coaches and fitters manage their business and client performance more easily. It was a big project — full-stack development, AWS deployment, database design, and everything in between — and it taught me how to take an idea from scratch and turn it into something real and useful.
Outside of coding, I'm always exploring new ideas, side projects, or just learning something new. If it involves building, collaborating, or making a difference, I'm all in.
Full-Stack Development
Proficient across the entire stack — from responsive frontends to scalable backend systems and APIs.
Problem Solver
Adept at identifying complex issues and crafting effective, innovative solutions.
Collaborative
Strong team player who thrives in cross-functional environments and stakeholder-driven work.
Entrepreneurial
Driven by the desire to take ideas from zero to one — building products, not just features.
Experience
Where I've been and what I've built
Work Experience
Founding Engineer / Co-Founder
Stealth
- Built and launched a full-stack SaaS platform for golf club fitters, coaches, and players, streamlining communication, scheduling, data sharing, and client performance management.
- Designed and developed the platform using Next.js, NestJS, Prisma, and PostgreSQL, deployed via AWS ECS Fargate with RDS, S3, Route 53, and SES.
- Implemented multi-role authentication, messaging, scheduling, data uploads, order/inventory management, and dashboards for player-coach-fitter collaboration.
- Engineered relational data models to support seamless collaboration between fitters, coaches, and golfers, including golf session records and order workflows.
- Led architecture decisions and built CI/CD infrastructure with Docker and GitHub Actions for scalable deployments.
- Prioritized UX and product development through feedback from early users and stakeholder collaboration.
Machine Learning/AI Research Student
University of Guelph
- Engineered a proprietary method for analyzing wrist ergonomics using motion capture data, achieving accuracy comparable to industry standards.
- Created and processed a dataset of 200,000+ wrist motion samples to train deep learning models for angle prediction, achieving an MAE of 7° for 2D data and 5° for 3D data, aligning with top-tier markerless motion capture systems.
- Developed pipelines for facial feature extraction using YOLOv5 and ResNet-34, achieving 99% for gender classification and 95% for race classification.
- Trained ML models on multi-modal data to predict 21 human actions, achieving an F1 score of 0.90.
Manufacturing Process Developer
Sonova Group
- Played a pivotal role in orchestrating the successful launch of hearing devices and overseeing post-launch engineering activities, ensuring seamless transitions and optimal product performance.
- Supervised and conducted equipment maintenance activities in the research and development area, maintaining a conducive operational environment.
- Worked closely within a collaborative team, ensuring the alignment of project timelines and deliverables to guarantee the timely launch of new hearing devices and achieve organizational goals.
Education & Research
Master of Applied Science (MASc) in Artificial Intelligence
University of Guelph
- GPA 3.8/4.0.
- Relevant courses: Intro to Machine Learning, Advanced Soft Computing, Computational Thinking for AI, Analysis of Big Data, Machine learning for Sequences (NLP), AI Applications & Society.
BEng. Biomedical Engineering (Co-op), Minor: Business Admin
University of Guelph
Can Machine Learning Enhance CV-Predicted Wrist Kinematics?
Applied Sciences
Published in Applied Sciences, this research explores the application of machine learning techniques to enhance computer vision-based wrist kinematics prediction using low-cost motion capture systems.
Certifications
Professional Engineer (P.Eng)
Professional Engineers Ontario (PEO)
IBM Databases and SQL for Data Science with Python
IBM
Responsive Web Design
freecodecamp
Skills & Technologies
Technologies and tools I work with to bring ideas to life
Languages
Frontend
Backend
DevOps & Cloud
Machine Learning
ML Applications
Tools & Platforms
Soft Skills
Let's build together
I'm always interested in new opportunities and collaborations. Let's connect!
Contact Information
Send Me a Message
© 2026 Joel Carriere. All rights reserved.