Aleksandra.Kulinska

Mastering MLOps: Bridging Data Science and Software Engineering Seamlessly What is MLOps? Integrating Data Science and Software Engineering At its core, MLOps is the practice of unifying Data Science and Software Engineering to streamline the deployment, monitoring, and maintenance of machine learning models in production. It applies engineering principles like version control, continuous integration, and […]

Leveraging Data Science for Predictive Maintenance in Software Engineering Introduction to Predictive Maintenance in Software Engineering Predictive maintenance in software engineering represents a paradigm shift from reactive problem-solving to proactive system health management. By leveraging data science and data analytics, engineering teams can forecast potential failures, optimize resource allocation, and enhance system reliability. This approach

Unlocking Generative AI Pipelines with Apache Airflow for Data Engineering Introduction to Generative AI and Data Engineering Workflows In the modern data landscape, the convergence of Data Engineering and Generative AI is revolutionizing how organizations build and deploy intelligent applications. Generative AI models, such as large language models (LLMs) and diffusion models, require robust, scalable