Rubayet Hassan Rupom

I am a recent Computer Science graduate with hands-on research and engineering experience in deep learning, NLP, and healthcare AI, focused on building end-to-end ML pipelines and production web applications.

I have developed generative models (GAN/VAE), distributed reinforcement learning experiments, and Transformer-based architectures, and integrated explainability (SHAP) into clinical models. I also shipped full-stack AI apps that combine LLM APIs with performant backend services and caching layers.

I seek opportunities to translate research into real-world products, bringing robust model design, scalable APIs, and a privacy-forward approach to teams working on ML/AI or full-stack problems.