- AI & ML Engineer with a focus on data analytics and AI innovations
- Over 6 years of experience in building, training, and deploying models
- Skilled in MLOps and managing projects
- Proficient in Python, TensorFlow, and Docker/Kubernetes
- Python
- TensorFlow
- Docker/Kubernetes
- Java
- HTML
- Dockerfile
- Shell
- MATLAB
- Joined GitHub on April 27, 2015
- Total of 169 contributions including 82 pull requests and 87 issues
- 700 commits demonstrating consistent engagement in the development process
- BRAINE Work Package 3 project manager BRAINE WP3R. Includes RL implementation for Kubernetes Scheduler, and Telemetry monitoring stack.
- Implementation of Stochastic Class-based Hard Example Mining for Deep Metric Learning in TensorFlow: Stochastic-Class-Based-Hard-Example-Mining-for-Deep-Metric-Learning
- Implementation of "Learning Fine-grained Image Similarity with Deep Ranking" by Google: Deep-Ranking-For-Image-Similarity
- Guide to Generate Google Static Earth Images with Urban Atlas Targets and Predict on Them: Urban_Atlas_Prediction
- Basic Function that Converts RGB Images to HSI Components: RGB-to-HSI
- Email: [email protected]
- Website: www.johnrothman.com
If you have any questions or would like to collaborate, feel free to reach out to me. I'm always open to new opportunities and discussions in the field of AI, ML, and data analytics. Let's connect and make an impact together! 🚀