From code to product leadership—helping teams ship AI-powered products
Your engineers are building features, but AI keeps getting pushed to "next sprint"?
The backlog is full. Deadlines are tight. AI feels like a nice-to-have, not a must-have. Meanwhile, competitors are shipping AI-powered features that make yours look dated.
You're drowning in technical debt, but leadership wants AI features yesterday?
Your codebase needs refactoring. Your architecture wasn't built for ML. But stakeholders don't want to hear about foundations—they want the flashy AI demo they saw at a conference.
You've tried adding AI, but it broke things in ways you didn't expect?
The proof of concept worked great. Then you hit production. Latency issues. Inconsistent outputs. Edge cases everywhere. Now the team is scared to touch it.
I've been there—as an engineer, product manager, and technical leader.
From writing code at Haraj to leading products at Mrsool and Jahez, I've shipped AI-powered features at scale. I know what works in production, not just in demos.
Your current system wasn't designed for AI. I help you add ML capabilities without rebuilding everything.
Your team is busy but shipping slowly. I identify bottlenecks and optimize delivery without burning people out.
Product wants features. Engineering sees technical debt. I bridge the gap so both sides win.
Growing from 5 to 50 engineers? I help you build processes, culture, and systems that scale.
You can build the product, but need help with the system—processes, team growth, and technical strategy. I've scaled engineering teams and know what breaks at each stage.
You have the vision but need a technical partner. I help you make smart technology decisions, hire the right engineers, and avoid costly mistakes.