I've Spent 10+ Years Building UIs.
Now I Help Teams Build AI.

From real-time observability dashboards at HashiCorp to bespoke AI agent courses for engineering teams. I've been where you are—trying to figure out how to actually ship AI products instead of watching tutorials.

Former UX Engineer
HashiCorp
Built
Nomad UI Dashboard
Instructor Rating
4.9/5.0
Certified
3DMA Breathwork

The Short Version

I Build Things That Actually Work

At HashiCorp, I was the UX Engineer on the Nomad team. My job was building the real-time observability dashboard—the UI that DevOps teams stare at when they're trying to figure out why production is on fire at 3 AM.

That experience taught me something important: the gap between "understanding a technology" and "using it under pressure" is enormous. Reading docs is one thing. Building something your team depends on is another.

UX Engineer
HashiCorp (Nomad Team)

Built real-time observability dashboard for container orchestration. Worked on the UI that operators use to monitor and debug distributed systems in production environments.

Now I take that same approach to AI. I don't teach theory. I build working agents alongside your team—and leave them with a course that explains exactly how it was built.

Why This Matters to Me

I've Watched Smart Teams Get Stuck

Here's what I keep seeing: A company decides to "invest in AI." Leadership allocates budget for learning. Engineers scatter across Coursera, YouTube, and Twitter threads. Six months later, nothing has shipped.

The problem isn't that your team isn't smart enough. The problem is that scattered learning doesn't compound into shared capability.

I've been that engineer, overwhelmed by the firehose of AI content, unsure what's actually relevant to production use cases. It's exhausting. And it doesn't have to be this way.

That's why I do this differently. Instead of generic courses, I build something real for your business—then document exactly how I built it so your team can learn together from the same artifact.

Track Record

Numbers You Can Verify

4.9
Instructor Rating (out of 5.0)
48hr
Prototype Delivery
$30K
Fortune 500 Methodology

I've shipped production UIs at HashiCorp. I've taught technical content that engineers actually rate highly. And I've seen what Fortune 500 companies pay for the kind of hands-on AI training I now deliver directly.

"Most AI courses teach you what AI can do. Jai builds something for your business and teaches you how he did it. That's the difference."

— Engineering Manager, Enterprise SaaS

My Approach

Learning by Building, Not Watching

I believe the best way to learn AI engineering is to build something real, together, as a team. Not watching videos alone. Not reading docs in silos. But gathering around a shared artifact that solves a real problem for your business.

Here's what that looks like:

  • Feasibility Assessment — I evaluate your idea in 48 hours
  • Working Prototype — I build a functional AI agent for YOUR use case
  • Bespoke Course — Your team learns how it was built, not generic theory
  • Shared Context — Everyone learns from the same real codebase

The result? Your team stops drowning in tutorials and starts shipping AI features.

Ready to Get Your Team Unstuck?

If your team is spending more time learning about AI than building with it, let's talk about a different approach.

Start With an Assessment