How I engage

Delivery leadership & execution

Focused engagements for founders and product teams—I lead engineering teams and ship SaaS and AI systems to production.

Product team leadership

I embed as a delivery leader for engineering teams that need direction—not another layer of management. I run planning, unblock execution, align product and engineering, and establish the rhythm that gets software shipped predictably.

Technologies

  • Agile
  • Scrum
  • Kanban
  • Jira
  • Azure DevOps
  • Delivery metrics

Use cases

  • Fractional delivery lead for early-stage startups
  • Embedded leadership for teams struggling with shipping speed
  • Product-engineering alignment during critical delivery phases
  • Sprint planning, release coordination, and stakeholder updates

SaaS MVP delivery

I take ownership of getting your SaaS product to production—architecture decisions, full-stack implementation, CI/CD, and launch. Not a prototype that gets thrown away: production-grade systems built for iteration.

Technologies

  • .NET
  • Azure
  • Next.js
  • REST API
  • SQL
  • Docker
  • GitHub Actions

Use cases

  • MVP from validated idea to production launch
  • SaaS architecture for teams without senior backend capacity
  • Full-cycle build: backend, API, frontend, and deployment
  • Post-launch iteration and scaling foundations

AI system implementation & scaling

I build AI systems that work in production—agents with tool calling, MCP server integrations, RAG pipelines, and LLM orchestration. Focus on guardrails, observability, and code that holds up when real users hit it.

Technologies

  • OpenAI
  • Anthropic
  • Azure OpenAI
  • MCP
  • .NET
  • Python
  • Docker

Use cases

  • MCP server development for enterprise AI integrations
  • Agent workflows with API and database tool calling
  • RAG and knowledge-base assistants
  • AI copilots for internal team workflows

Let's talk about leading your product delivery

Whether you need a team led, an MVP shipped, or an AI system scaled—tell me where you are and what needs to get to production.