nadyaakhairani

I build data pipelines and systems that make AI models work safely and reliably in the real world. Coming from a data science background with hands-on experience in machine learning, computer vision, and cloud data engineering, I’ve learned how raw data becomes the foundation of production-ready models. I’ve cleaned and labeled thousands of text and image records, automated ETL pipelines using Python, SQL, and AWS, and evaluated YOLO-based vision models for research-grade accuracy. My focus is on creating high-quality datasets and scalable workflows that connect model training to real-world applications. I thrive in fast-moving, collaborative teams where iteration, clarity, and measurable impact matter most.