
Bhushan Shah
Training LLMs | Reinforcement Learning | Deep Learning | Machine Learning
I'm a Master's student in Computer Science at Stony Brook University, specializing in Large Language Models and Reinforcement Learning. My work focuses on understanding the complete lifecycle of LLM development, from initial training to production deployment.
Currently, I'm learning to combine all stages involved in building production-ready LLMs—including pretraining, fine-tuning, reward modeling, deployment strategies, and monitoring systems. My goal is to develop efficient, interpretable, and scalable AI systems that can be reliably deployed in real-world applications.
Tech Stack
Python
PyTorch
TensorFlow
Verl
TRL
Lighteval
Liger Kernel
LangChain
LangGraph
Scikit-learn
NLTK
Pandas
NumPy
Seaborn
Matplotlib
OpenCV
OpenAI
Hugging Face
Gym
React
TypeScript
Next.js
Docker
AWS