About

I build AI-powered software that makes operational work easier to automate, understand, and trust.

I am a full-stack developer and AI integrations lead focused on workflow-heavy products: GenAI agents, LLM orchestration systems, CRMs, booking platforms, logistics surfaces, and internal tools that teams depend on every day.

The goal is not to make software look clever. The goal is to make it easier for a team to move, decide, and trust what the interface is telling them.

Athens, GreeceReact / Next.js / TypeScriptAI integration and product systems

Focus

AI integrations and agentic workflows

Systems that classify, extract, guide, and automate work with structured outputs, tool execution, and clear trust boundaries.

Focus

LLM infrastructure and orchestration

Batch and realtime AI job systems with provider abstraction, validation, retries, quotas, observability, crash-safe execution.

Focus

Operational product systems

CRMs, booking tools, logistics platforms, internal surfaces that make day-to-day work clearer.

How I work

Product clarity first, then acceleration.

Start from the operational model, not the screen design.

Make the default path obvious before adding edge-case flexibility.

Ship in slices that real teams can use immediately.

Instrument the system so product decisions are based on behavior, not guesswork.

Background

The throughline in the work.

Based in Athens, building products for teams that need clear workflows and reliable interfaces.

Currently leading AI integration and architecture work at LgMAR while continuing to build client-facing operational products.

Most of my recent work sits at the intersection of product clarity, backend reliability, and interface systems that can scale without becoming noisy.

If you need a product partner for a workflow-heavy system, start with the work.

The clearest way to understand how I approach product work is through the case studies, then the conversation.

See case studies Start a conversation

About

I build AI-powered software that makes operational work easier to automate, understand, and trust.

The goal is not to make software look clever. The goal is to make it easier for a team to move, decide, and trust what the interface is telling them.

Athens, GreeceReact / Next.js / TypeScriptAI integration and product systems

Focus

AI integrations and agentic workflows

Systems that classify, extract, guide, and automate work with structured outputs, tool execution, and clear trust boundaries.

Focus

LLM infrastructure and orchestration

Batch and realtime AI job systems with provider abstraction, validation, retries, quotas, observability, crash-safe execution.

Focus

Operational product systems

CRMs, booking tools, logistics platforms, internal surfaces that make day-to-day work clearer.

How I work

Product clarity first, then acceleration.

Start from the operational model, not the screen design.

Make the default path obvious before adding edge-case flexibility.

Ship in slices that real teams can use immediately.

Instrument the system so product decisions are based on behavior, not guesswork.

Background

The throughline in the work.

Based in Athens, building products for teams that need clear workflows and reliable interfaces.

Currently leading AI integration and architecture work at LgMAR while continuing to build client-facing operational products.

Most of my recent work sits at the intersection of product clarity, backend reliability, and interface systems that can scale without becoming noisy.

If you need a product partner for a workflow-heavy system, start with the work.

The clearest way to understand how I approach product work is through the case studies, then the conversation.

See case studies Start a conversation