Machine Learning and Full-Stack Developer based in Vancouver, BC.
- 🎓 Final-year Computer Science student at UBC (GPA: 4.20/4.33)
- 🏆 ML & SWE Intern at Metrized Consulting Inc. (09/2023–08/2024), building ML-powered web applications
- 💻 Undergraduate Research Assistant at Systopia Lab (05/2023–12/2023), focusing on ML for climate science
- Professional Recommendation: LinkedIn Recommendation from my Director of ML at Metrized Consulting.
- NeurIPS 2023 Paper: “Spring-Onset Detection with Satellite Data”
(I co-authored and presented this paper focused on machine learning for climate research.)
- Languages: Python, Java, C, C++, JavaScript, TypeScript, HTML, CSS
- Frameworks & Libraries: PyTorch, React, Next.js, FastAPI, scikit-learn
- Web/Databases: Supabase, SQL, Tailwind, PHP
- Tools: Git, Docker, AWS, Google Cloud, JUnit, Google Colab
- ML Specialties: Neural Networks, Computer Vision, Language Models
Much of my recent work at Metrized and Systopia Lab is in private repositories.
- Interested? Contact me for a demo or code samples:
- Email: joelhempel35@gmail.com
- LinkedIn: linkedin.com/in/joelhempel
I’m happy to discuss details one-on-one, subject to any confidentiality agreements.
- LinkedIn: linkedin.com/in/joelhempel
- GitHub: github.com/J0ELh
- Email: joelhempel35@gmail.com
Feel free to reach out if you’d like to collaborate on projects, discuss research, or learn more about my work!