Debugging Machine Learning Model in Julia

I'm currently experiencing performance-related issues with my existing machine learning model. It's showing signs of overfitting, underfitting, and generally running slower than expected.

Key Requirements:
- The model is based on supervised learning
- Sufficient training data is already collected
- Proficiency in Julia programming is a must

I am looking for a professional who can help me debug and optimize the performance of this model. The ideal candidate should have a strong background in machine learning, particularly in supervised learning models, and a proven track record of debugging complex algorithms. Experience with Julia programming language would be a huge plus.

Your responsibilities would include:
- Identifying and resolving the performance issues (slow performance, overfitting, underfitting)
- Ensuring the model is running efficiently and providing accurate predictions
- Providing guidance on potential improvements or optimizations that can be made to the model

Please only apply if you have demonstrable experience in similar projects and are confident in your ability to deliver results.