Cloud & Platform Engineer · AI Infrastructure · DevOps
I build cloud infrastructure that ships fast, scales quietly, and never breaks at 2 AM.
Bridging the gap between code and cloud. Building scalable enterprise apps and the resilient AI-driven infrastructure that powers them.
About me
The short version
I enjoy making infrastructure invisible so builders can focus on what matters: shipping products, serving users, and learning faster.
My work sits at the intersection of platform engineering, DevOps automation, cloud architecture, and practical AI infrastructure — Azure Machine Learning, AWS SageMaker, and Bedrock.
This site is part portfolio, part living notebook — a place to share projects, ideas, and moments that shaped the engineer I am becoming.
Capabilities
What I work with
Cloud
AI / ML Infrastructure
IaC & CI/CD
Containers
Security
Programming & Data
Moments
In the field
Certifications
Microsoft Azure certified
Blogs
Latest from the blog
April 10, 2026
What is AI? Algorithms, Neural Networks & Predictive Models Explained (2026)
A complete guide to AI algorithms — regression, classification, clustering, neural networks, and time series. With code examples, flow diagrams, and real-world use cases for engineers.
March 15, 2026
Google SEO is dead. Long live LLM Optimization.
How AI answer engines are replacing search results, what the data says, and exactly what you need to do differently to be found in 2026 and beyond.
March 10, 2026
AWS vs Azure vs GCP: An engineer's honest comparison
After 7 years deploying production workloads on all three clouds for clients like H&M, Siemens, and Nokia — here's my honest take on when to use which.