I started writing code in the late ’90s, back when deploying meant FTP-ing files to a shared host and hoping nothing broke. What kept me building for 25+ years wasn’t the technology itself, it was the feeling of making something that actually works for real people under real constraints.
Today I co-run Klasio, FigLab, and LazyCoders, where we build software products and help teams ship faster. Before that, I spent years building and scaling production systems across different industries, learning the hard way what survives contact with users and what doesn’t.
I treat AI-augmented engineering the same way I treat everything else: it has to work in production, not just in a demo. The teams I work with don’t just try AI tools. They adopt them, because the workflows we set up together actually make their work better. Not theoretically. Measurably.
Highlights
Experience
25+ years building and shipping production software
Company
Co-founded Klasio, FigLab, and LazyCoders
AI Training
Trained teams at ThriveDesk, iViveLabs, and Crebsol on AI workflows
Expertise
Full-stack development, DevOps, SDLC design, and agentic AI systems
What I believe
The best tools disappear into the workflow. They don’t make you think about them, they just make the work better.
AI should be the same. When I set up an AI workflow for a team, the goal is that within a week, they’re not “using AI” anymore. They’re just working. Faster, more consistently, with fewer things slipping through the cracks.
I don’t believe in hype cycles. I believe in shipping.