About — devsahamerlin | Lifelong Learner & Tech Practitioner
What is ?
devsahamerlin is where I document what I build, what I learn, and what I figure out along the way — as a practitioner who has been writing code since 2015 and hasn't stopped learning since.
No polished theory. No recycled content. Just hands-on PoCs, real architectural walkthroughs, and honest write-ups from someone who is building in the field every day.
The name says it all: dev — because it started with code. saha merlin — because it's personal. One person, one journey, shared publicly.
What I Cover
The content follows where the technology goes — which means it evolves. Right now that's:
- Cloud Infrastructure — multi-cloud platforms on GCP, AWS, Azure, and Oracle Cloud, built with Terraform and automated end-to-end
- DevSecOps — security integrated from day one, CI/CD pipelines, secrets management, IaC best practices
- MLOps & LLMOps — end-to-end ML pipelines, DVC, GitHub Actions, CML, agentic AI systems in production
- Distributed Systems — architecture patterns, scalability, privacy-first AI systems
Every article, video, and PoC is something I have actually built — not something I read about.
Who is Behind It
I started as a freelance Full-Stack developer in 2015 — building Java, PHP, and mobile applications for real clients — before landing my first formal Java/Java EE Developer role in 2017. Over the years, I grew from software development into cloud infrastructure and DevSecOps, and am now expanding into distributed systems and AI systems architecture.
IBM Champion 2026 & HashiCorp Ambassador 2025 — recognized for technical contributions and community involvement across the global tech ecosystem.
Currently completing an MSc in Computer Engineering — Big Data & Cloud Computing — with a thesis on privacy-first AI systems.
The Philosophy
Lifelong learner. Hands-on practitioner. Document everything.
I believe the best way to solidify knowledge is to teach it — and the best way to teach it is to build it first. That's what this blog and channel are for.
If something I publish saves you two hours of debugging, or gives you the mental model you were missing — that's exactly the point.