I will build a reinforcement learning model
Machine Learning Engineer, AI Systems and Predictive Modeling
About this Gig
I build reinforcement learning models that solve real decision-making problems not just one-time predictions, but AI that learns the best action to take, over and over, as conditions change.
If your business needs to make repeated decisions how much to charge, when to restock, how to allocate resources, how to respond to changing conditions a standard prediction model isn't enough. Reinforcement learning is built exactly for this.
Real example: I built DE-ORL, an AI system that learns safe, optimal insulin dosing decisions from real patient data. It combines deep reinforcement learning with safety constraints, tested against real clinical outcomes, achieving 98.9% success with zero unsafe results. It's live and working today.
What you get:
- A trained reinforcement learning model built specifically for your problem
- Clean, well-documented Python code you fully own
- Safety and performance evaluation, not just raw output
- Honest guidance I'll tell you clearly if RL is the right fit for your use case, or if a simpler, cheaper approach would serve you better
I specialize in deep learning, Python, PyTorch, and AI decision systems and I care about delivering models that actually work.
Expertise:
Feature learning
•
Predictive analysis
•
Other
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
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PyTorch
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab

