Hammad Ezad

Background

About Hammad Ezad

I’m currently working as a Senior Data Scientist at Royal Cyber Inc, where I focus on developing and deploying Generative AI and optimization solutions for enterprise clients. My work involves building end-to-end systems using LLMs and advanced machine learning techniques to improve customer interaction and operational efficiency across sales and logistics domains. Over the years, I’ve gained deep experience in Python, R, and SQL, along with key frameworks like scikit-learn, XGBoost, and modern LLM stacks such as LLaMA 3 and PHI-3. My project work has spanned predictive modeling, causal inference, NLP, MLOps, and real-time API integrations using FastAPI and cloud platforms like Azure and AWS. I enjoy collaborating with cross-functional teams and have consistently delivered high-quality, production-ready solutions. I’m known for being a quick learner and problem-solver, and I’m looking forward to taking on new challenges where I can continue applying data science to real-world problems.