AI systems, developer tooling, and domain-specific platforms
I build production-grade AI and developer systems for complex workflows.
From prompt architecture and agent orchestration to DSL-driven tooling and editor-grade developer experiences, I design systems that are built to ship, evaluate, and evolve.
AI systems with contracts, evaluation, and operational guardrails
Developer tooling built for real-world workflows
Domain-specific platforms for structured, repeatable work
Systems designed to be shipped, tested, and evolved
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
DDD, orchestration, contracts, and reliability thinking baked in from the start.
AI systems
Prompt control, evaluation, structured outputs, and agent handoffs that hold up in production.
Developer tooling
Editors, extensions, and workflows built for the people who use them every day.
Product execution
Shaping concepts into usable, shippable systems — not just proofs 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
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