Kateryna is a dedicated Machine Learning Engineer with hands-on experience in building and deploying end-to-end ML systems. She specialises in model optimisation, scalable training pipelines, and production-grade inference services. Her strong engineering mindset and deep ML expertise enable her to bridge the gap between data science prototypes and reliable software solutions that power real-world applications.
Skills: Python, TensorFlow/PyTorch, scikit-learn, PySpark.