I am a Data & AI Engineer at Maxxing, where I lead the end-to-end design and implementation of the company’s data platform and AI ecosystem. Over the past years, I have driven the transformation of Maxxing’s data strategy-architecting a scalable enterprise data platform, deploying AI-powered features into production, and enabling the organization to transition from traditional BI to automated decision-making.
At Maxxing, I have integrated large language models into real-world applications, enhancing customer experience and operational efficiency. My work spans data architecture, predictive modeling, and full-stack integration within existing Angular, PHP, and PostgreSQL environments, plugging Python into the infrastructure. After a start in Microsoft Fabric, I switched over the data infrastructure to Kubernetes to gain efficiency and save money for more useful applications. I hands on airflow, mlflow, spark, duckdb and polars on a daily basis.
With hands-on experience building cloud-native data solutions, production-grade AI services, and analytics platforms, I bring a product-centric mindset and a deep understanding of how to scale AI within enterprise environments.
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