Your business, engineered to work as one.
Strategy · Applications · AI & Automation · Operations
I build business applications and connect them to AI workflows, integrations and infrastructure. My work covers the user interface, application logic, testing, deployment and the operational tools a team needs to use the software each day.
How I work
One vision.
Every layer connected.
Custom applications, organizational AI, automation and the infrastructure to run them. I bring the whole solution together, from understanding your business to building the software and supporting the people who use it.
From vision to business impact.
Strategy, engineering, intelligence and scale. Explore each step.
AI & automation: Put AI to work across the business.
01Strategy & architecture
Start with the business. Design the whole system.
Understand how your teams work, where time is lost and what success should look like. Turn that insight into an AI adoption plan, sound architecture and a delivery roadmap your organization can own.
What you leave with
A prioritized roadmap, clear architecture decisions and an agreed definition of success.
Explore the delivery scope
Organizational AI Integration & Adoption
Bring AI into existing products, operations and engineering practices. Identify useful workflows, choose appropriate models and tools, integrate with business systems, and help teams adopt the result with measurable success criteria.
- A prioritized AI opportunity map and scoped pilot
- Evaluation criteria, data boundaries, team enablement and ownership
System Architecture & Technical Design
Designing scalable, secure, multi-tenant systems from the ground up. Database schemas, API contracts, event-driven pipelines, and build-vs-buy decisions tuned for your actual scale, team, and budget.
- An architecture review and documented tradeoffs
- API/data boundaries and a prioritized delivery plan
Engineering Leadership & Fractional CTO
Lead engineering delivery while staying involved in technical decisions, code review and mentoring. Set priorities with the team, connect the roadmap to product needs and support implementation and operations.
- A technical roadmap grounded in team capacity
- Decision support, delivery reviews, and mentoring
02Application engineering
Software shaped around the way your team works.
Build the interfaces, business logic and integrations that make the solution useful. Create custom applications or modernize existing platforms, with testing, delivery and ongoing operation considered from the outset.
What you leave with
Working software, connected systems and a practical path from implementation to production.
Explore the delivery scope
Application Development & Delivery
Build interfaces, application logic and APIs with Python / FastAPI, TypeScript / Next.js and React. Include unit, integration and browser testing, code review, CI/CD and operational handover as part of delivery.
- A scoped implementation plan
- Working software, integration checks, and handover notes
Legacy Modernization & Rescue Engagements
Assess an existing application, its dependencies and the problems blocking delivery. Plan a staged modernization or recovery, with tests, operational checks and rollback points.
- A risk and dependency assessment
- A staged migration or recovery plan with rollback points
03AI & automation
Put AI to work across the business.
Connect models, agents and existing tools to real business workflows. Bring application development and automation together, with measurable quality, clear exceptions and the right level of human oversight.
What you leave with
Connected AI workflows with evaluation criteria, exception handling and clear operational ownership.
Explore the delivery scope
AI Agents, Orchestration & AI Operations
Coordinate AI agents with MCP and workflow tools. Develop AI-assisted triage, issue creation and pull-request preparation, with evaluations and operational feedback. Build toward self-learning and self-repairing workflows through explicit permissions, verification, escalation and recovery.
- Scoped agent roles, tool access and an orchestration workflow
- An observability-to-issue-to-pull-request pilot with tests and release policy
AI & LLM Integration
Integrate hosted or local models into an application, connect tools through MCP and design prompts or retrieval around the use case. Evaluate output quality, failure handling and operating cost before expanding the workflow.
- A concrete input/output workflow and evaluation criteria
- Model integration, failure handling, and operating-cost review
Business Automation & AI Workflows
Connect repetitive business work with reliable automation: AI-assisted document and data processing, reporting, support workflows and system integrations. Combine Python, n8n and existing tools with retries, validation, exception handling and clear operating ownership.
- A map of the existing manual process
- An integration with retries, validation, and operational notes
04Reliable operations
Built for the realities of running a business.
Give software and AI workloads the infrastructure, observability and access controls they need. Measure performance and operating costs, plan for recovery and use operational evidence to guide the next improvement.
What you leave with
Observable systems, repeatable delivery, recovery plans and a measured approach to capacity and cost.
Explore the delivery scope
Performance, Cost & Scale Optimization
Investigate slow queries, application latency and infrastructure cost using profiling and operational evidence. Prioritize changes, measure the result against a baseline and document the tradeoffs.
- A measured bottleneck analysis
- Prioritized changes and a before/after verification plan
DevOps & Cloud Infrastructure
Infrastructure for dependable software and AI workloads. Load balancing, container orchestration, workflow orchestration and CI/CD, with Docker, Kubernetes, cloud platforms, NGINX and Traefik. Add observability with Grafana, Prometheus and Loki, capacity planning, cost controls and recovery workflows.
- A deployment and recovery workflow
- Monitoring, configuration, and runbook improvements
Security & Compliance Engineering
Review authentication, authorization, data handling, dependencies and application access. Implement scoped security improvements, test them and document the controls the organization needs to operate.
- An application access-control review
- Specific remediation work and evidence for the relevant review
Connected from the first decision to continuous improvement.
Explore the technology stackTech stack
Built to work
together.
AI, applications and infrastructure. I connect the right technologies to turn complex operations into practical, reliable systems.
Or choose any technology from the selector.
AI & LLMs
OpenAI
Models, coding assistants and tool connections for AI-assisted products and workflows.
Get in touch
Start a conversation
Tell me about the engineering role or project, your team and the problem you want to solve. You can include your preferred contact details in the form.