Engineer specializing in AI/ML systems. Discover insights, tutorials, and production-ready solutions in artificial intelligence, machine learning operations, and scalable ML platforms.
From childhood science experiments to AI engineering — this is not a coincidence, it's a vocation.
I'm an engineer (Master in Control Engineering & Robotics) specializing in AI and MLops. From childhood science experiments to building production ML platforms, vector databases, and monitoring systems — my journey combines deep technical foundations with hands-on expertise. I share practical insights from real-world ML deployments, system design, and the challenges of scaling AI in production.
Unlock trustworthy AI: Master evaluation, monitoring, and observability. Discover why DevOps thinking fails AI and how a "helix" model elevates your s...
Building GenAI apps isn't like traditional software – most projects fail without a crucial shift. Discover how a data-first, evaluation-centric approa...
LLMs only *talk*; AI agents *act* – orchestrating tools for real-world tasks. Even seasoned AI pros misunderstand agents' inner workings – this guide...
Google Cloud's AI services overwhelm? 85% of AI projects fail due to poor tech choices. Discover the PACE framework to avoid crippling choice paralysi...
Ditch keyword search! Vector databases unlock hidden meaning in your data, revealing connections you never knew existed. Discover how "embeddings" tra...
Automate PGVector on Cloud SQL deployment using Terraform and Makefiles! Deploy a complete vector search infrastructure with single commands; discover...
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