About me

Hi, I'm Parth đź‘‹

I build production-grade AI systems — the kind that don't just look good in demos, but actually work reliably when real users hit them.

How I Got Here

I spent ~5 years as a software engineer working on real-world systems, where I kept seeing the same problem:

Teams were excited about AI… but struggled to make it work beyond prototypes.

  • Slow, unreliable agents
  • Fragile prompt-based systems
  • Messy backend integrations
  • Features that broke under real usage

That gap between “AI idea” and “production reality” is exactly where I operate now.

What I Do

I help startups and teams turn AI ideas into production-ready systems.

That means:

  • Designing agentic workflows (not just single prompts)
  • Building scalable backends for AI features
  • Handling real-time systems, APIs, and integrations
  • Making sure everything is fast, stable, and maintainable

In short: I don't just build AI features — I build the systems that make them usable at scale.

What Makes Me Different

Most developers:

  • Focus on isolated features
  • Optimize for “it works once”

I focus on:

  • End-to-end system design
  • Failure handling and edge cases
  • Performance under real usage
  • Long-term maintainability

I think like an engineer (clean, scalable systems), a product owner (what actually delivers value), and a founder (what survives in the real world).

Case Study: Tyvur

I built Tyvur, an AI-powered interview platform, completely from scratch. It simulates real interview scenarios and provides actionable feedback to help users improve — not just practice blindly.

What I handled:

  • System architecture
  • AI workflow design (multi-step reasoning, feedback loops)
  • Backend APIs (FastAPI / real-time flows)
  • WebSocket-based interaction
  • Deployment and system stability

This wasn't just a side project — it was a full end-to-end product build, designed to solve a real problem.

How I Work

  • I care about shipping fast, but not at the cost of breaking things later.
  • I avoid overengineering, but I don't cut corners where it matters.
  • I focus on clarity, performance, and reliability.

Because at the end of the day: An AI feature that breaks in production is worse than not having it at all.

What I'm Looking For

I work best with:

  • Startup founders
  • Small to mid-sized teams
  • People who want to ship fast but properly

If you're building something with AI and want it to actually hold up in production — we'll get along well.

Closing

If you're tired of:

  • AI features that almost work
  • Engineers who only think in prompts
  • Systems that break when users show up

Then we should talk.