I will build rl and ml models for engineering problems

I build reinforcement learning agents and machine learning models for engineering, simulation, and decision-making problems not generic chatbots or production ML infrastructure, but models grounded in real systems and data.

I'm an aerospace engineering graduate student with hands-on experience training RL agents (PPO, Stable-Baselines3) for physical control problems, and applying ML to simulation and engineering datasets. I work in Python (PyTorch, scikit-learn, Gymnasium/SB3, numpy, pandas).

What I can help with:

• Reinforcement learning agent design and training for control or decision-making problems
• Surrogate/regression models that approximate expensive simulations faster than running the full model
• Data analysis, feature engineering, and model evaluation for engineering or experimental datasets
• Clean, documented Python implementations you can actually read and extend afterward

What this isn't: chatbot development, computer vision, NLP, or large-scale production ML deployment/MLOps my focus is RL and simulation-data ML specifically, not general-purpose AI services.