Machine Learning Research Assistant
Developed and visualized model performance, improved GPT-2 training speed by 20%, reduced response time by 23%, and increased lexical diversity through reinforcement learning integration.
- Leveraged Python, TensorFlow, Keras, and Matplotlib for model transparency and interpretability.
- Published research: Using a GPT with Reinforcement Learning for More Personalized or Targeted Text Generation.



