AI-native platforms and developer tooling, built and shipped solo
I build production AI systems and developer tools — then I use them myself.
From Job Search Studio's CQRS-driven job-matching pipeline to Compliance Studio's inline AI review agents, I design systems around real workflows, and I ship them end to end.
I shipped Job Search Studio as a defect-hardened SaaS app — NestJS, CQRS, Angular.
Compliance Studio puts AI review agents in the editor, not a CI afterthought.
Platform IAM handles OIDC and policy-based RBAC for every product I build here.
Prompt Studio and Chat Panel share one chat-participant contract, built on separate model-routing backends underneath.
Flagship projects
Selected systems that show how I approach architecture, workflow design, and technical execution.

Job Search Studio
A SaaS application that automates job discovery, tracking, and application workflows, built with NestJS, Angular, and CQRS.

Platform IAM
A shared identity and access management microservice — OIDC flows, policy-based RBAC — underpinning every product in this platform.

Prompt Studio
A VS Codium extension for authoring, testing, and iterating on LLM prompts directly inside the editor.
How I work
Architecture
I bring DDD, CQRS, and reliability thinking from day one — it's how Platform IAM became shared infrastructure.
AI systems
I built the multi-provider AI router behind Job Search Studio's ranking and evaluation pipeline.
Developer tooling
I build VS Codium extensions like Prompt Studio and Compliance Studio — tools I use myself every day.
Product execution
Job Search Studio shipped as a complete, defect-hardened SaaS app — not a proof of concept.
About

I'm a software architect and technical educator who has spent my career building production systems and writing about the disciplines that separate successful software products from expensive technical failures — lean product discovery, acceptance test-driven development, clean architecture, and data-driven adaptation.
In my day-to-day work, I design and build AI-native platforms and developer tooling: multi-agent systems, prompt engineering workflows, and the infrastructure that lets small teams (or one person) ship production-grade software solo.
This site is where I write that experience down — practitioner notes on the Articles page, and longer-form work in the Books and Courses I'm developing. I'd rather share what I've actually learned building real systems than repeat theory I haven't tested myself.
Current focus
Right now I'm especially interested in AI-native developer tools, local and hybrid LLM workflows, domain-specific interfaces, and systems that help experts work with more clarity and less friction.
- Building AI-native tools for experts working in complex domains
- Exploring local LLM workflows and evaluation layers
- Open to collaborations around DevEx, AI infrastructure, and applied agent design
Let's talk about systems worth shipping
I'm most interested in conversations around AI infrastructure, developer tooling, domain-specific platforms, and technical products that need both architectural depth and product clarity.
Get in touch
The best ways to reach me:
Or send a message
Have a project, role, or system worth discussing? Tell me a bit about it and I'll get back to you.