I design and build end-to-end data systems, combining data engineering, cloud-native architectures, analytics, and applied machine learning.
Exploring data, identifying patterns, and generating insights through visualization and analytical thinking.
Design of scalable data flows for ingestion, transformation, and processing across batch and real-time systems.
Cloud-native solutions built for scalability, reliability, and modular deployment using AWS and infrastructure as code.
Applied machine learning for real-world problems, with focus on model performance, evaluation, and robustness.
I design data systems as interconnected layers — from ingestion and processing to analytics and intelligent decision-making.
Layer of the data workflow
Layer of the data workflow
Layer of the data workflow
Layer of the data workflow
Layer of the data workflow
Technologies and tools I use across data, cloud, and machine learning systems.