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⚡ The quick version

Role        →  Platform PM (Core & AI) @ Certa  (prev. Frontend Engineer)
Focus       →  B2B SaaS · AI/ML Products · Fintech & Compliance
Superpower  →  I came from engineering — I speak both languages fluently
Now         →  Building an open-source, AI-native signal aggregator for PMs

🧠 What I do as a PM

I'm a builder-first product manager with a frontend engineering background. That means I don't just write specs — I prototype, I read PRs, and I can actually feel the pain when a system is over-engineered.

At Certa, I own the core platform and AI surface — working at the intersection of enterprise workflow automation, compliance, and integrations — one of the most technically complex surfaces a PM can own.

Things I care about deeply:
  ✦  Reducing time from customer insight → shipped feature
  ✦  Building products that engineers are proud to work on
  ✦  AI that actually earns its place in a workflow (not just a chatbox)
  ✦  Open source as a distribution strategy, not just a license

🏗️ What I'm building

✅ Shipped — n8n-debugger

An open-source AI-powered debugger for n8n workflows. Paste a broken workflow, get a diagnosis. Built for the thousands of teams running automation on n8n who spend more time debugging than building.

What it does:   AI analysis of failed n8n workflow executions
Who it's for:   Developers & ops teams running n8n automations
Why it exists:  Debugging n8n is painful. It shouldn't be.
Stack:          n8n · AI · Open Source

⭐ Star it on GitHub →


🔜 In progress — AI Signal Aggregator for PMs

An open-source, AI-native tool that pulls product signals from Slack, Linear, Intercom, GitHub Issues, and more — and connects them directly to roadmap outcomes. Not another voting board. An actual reasoning layer.

Stack thinking:  Next.js · Python · Claude API · pgvector · MCP
Why OSS?         Every PM team has this problem. Nobody should pay $70K/yr to solve it.

📣 Follow @stephin007 to catch the launch


🎯 PM lens — my domain stack

Domain What I bring
🏢 B2B SaaS / Enterprise Integration complexity, multi-stakeholder discovery, enterprise sales loops
🤖 AI/ML Products Prompt design, model evaluation, when AI adds value vs. when it's a liability
🔐 Fintech & Compliance Regulatory constraints as design parameters, not blockers
⚙️ Integrations & Infra I've built the things I now spec. That changes how I write requirements.

🛠️ Technical fluency

I'm not an engineer anymore — but I still think like one.

Languages I can read, write, and debug:

JavaScript TypeScript React Python HTML5 CSS3

Tools I actually use:

Figma Linear Notion Slack GitHub Cursor


📊 GitHub activity


🤝 Let's connect

Open to:
  ✦  OSS collaborations (especially PM tooling & AI automation)
  ✦  Advisory for early-stage products at the AI × compliance intersection
  ✦  Conversations about what good product actually looks like

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