I've always been fascinated by the gap between knowing something and being able to explain it to someone else. Most expertise lives in people's heads, unstructured and hard to transfer. My courses are about closing that gap: taking what practitioners actually know and turning it into something you can learn, apply, and build on.

Certifications I hold

• Microsoft Machine Learning Operations Engineer

• Microsoft Azure AI Engineer and Microsoft Azure Data Scientist

• Databricks Generative AI Engineer and Databricks Data Engineer Associate and Professional

• AWS Certified Machine Learning Engineer

• Google Professional Machine Learning Engineer

What I build

I work across Azure, AWS, Google Cloud, and Databricks. Not as a spectator, but as someone who builds with these tools: GenAI agents, MCP integrations, ML pipelines, and cloud architectures. I pick up new technologies early, but I care equally about what makes them safe and responsible to deploy at scale.

Why that matters for your learning

I don't just hold certifications; I help write the exams. Both Microsoft and AWS have invited me as a Subject Matter Expert to contribute to exam blueprinting and content validation for their AI and MLOps certifications. I understand not just the material, but how it's tested, which questions are designed to trip you up, which concepts carry the most weight, and where most candidates get stuck.

What to expect from my courses

No filler, no unnecessary theory, no slides I wouldn't want to sit through myself. If you're preparing for a certification or going deeper into AI operations, I built these to respect your time and get you there, with the perspective of someone who's been on both sides of the exams.