Data Scientist with 4 years of experience specializing in Generative AI for healthcare and drug discovery, focusing on applying large language models (LLMs), diffusion models and deep learning techniques to biomedical challenges. Experienced in working with protein sequences, molecular structures and clinical datasets to support applications such as protein binder design, structure prediction and drug candidate generation. Proficient in Python and PyTorch, with hands-on experience building and deploying scalable generative AI models for real-world healthcare and life sciences use cases. Strong understanding of AI-driven drug discovery workflows and model optimization techniques. Adept at collaborating with interdisciplinary teams to translate cutting-edge Generative AI research into practical solutions that accelerate therapeutic discovery and improve research productivity.