I’m interested in the intersection of data science, AI, software development, and distributed systems. Most of my work revolves around machine learning, analytics, big data, automation, and building scalable solutions for real-world problems.

I enjoy experimenting with modern technologies related to AI, backend development, cloud platforms, MLOps, autonomous agents, and knowledge systems. I usually work with Python, Spark, APIs, cloud environments, and different tools for building data-driven applications and intelligent workflows.

I’m also passionate about applied research, optimization, and teaching topics related to data and artificial intelligence. Here I share ideas, experiments, side projects, lessons learned, and thoughts about technology, AI, and software engineering.