Services
Software architecture and backend engineering for new and existing systems, informed by experience in trading platforms and geospatial systems.
Where to start
If you are not sure which service you need, start here. Each engagement is small, scoped and ends with written outputs.
For a new product or major capability, before serious development starts: clear system boundaries and an implementation direction.
Not included Full implementation, UI design and infrastructure provisioning.
Ask about system designFor a team with a running system, often on .NET, that is unsure about its structure or where to take it next: what to improve, what to keep, and where to start.
Not included Executing the full migration or refactoring, which can follow as a separate engagement.
Ask about a reviewFor slow responses, recurring errors or failing background processing, investigated before committing to a major rewrite.
Not included Ongoing production support or 24/7 on-call.
Ask about an assessmentScope, duration and pricing are agreed after a first conversation, once the problem is clear.
All services
Design new systems and make clearer architectural decisions: boundaries, options and an implementation direction sized to the problem, the team and the stage of the product.
You are starting a new product or a major new component and want boundaries, data ownership and key decisions settled before the team scales.
Not included UI/UX design, infrastructure provisioning and full product implementation (available separately as hands-on delivery).
Structure APIs, integrations and backend capabilities for maintainable growth.
APIs, integrations and shared backend capabilities have grown organically and are getting harder to extend, version or operate.
Not included Building cloud infrastructure, DevOps pipelines or a full internal developer platform.
Architecture and backend engineering for LLM agents that use tools, act on real data and can be trusted in production.
You want AI agents to act on real systems, your data, backend and users, safely and observably, not only a chat demo.
Not included Training foundation models or machine-learning research.
For systems that already run the business: change in stages, with risk and continuity managed explicitly.
An existing system, often on .NET Framework, has to change, and every change feels slow or risky.
Not included Big-bang rewrites. Executing the full migration is a separate, follow-on engagement.
A focused look at a codebase: where complexity comes from and which changes pay off first.
The code works but is hard to change: unclear module boundaries, tangled dependencies, little test coverage.
Not included Security audits and compliance reviews.
Investigating slow queries, failing jobs and unreliable integrations — and fixing the causes.
There are specific symptoms in production: slow queries or APIs, failing background jobs, unreliable integrations.
Not included 24/7 on-call support and managed operations.
An experienced second opinion and steady technical direction for engineering teams.
A team wants an experienced second opinion on decisions, standards or plans without a full-time senior hire.
Not included People management and hiring decisions.
Scope note. Cybersecurity auditing, financial regulation compliance and investment advice are not offered.
Domain experience
Not separate services, but context I bring to the services above. These reflect my professional experience before founding ArtaPattern.
Professional experience with brokerage backends, trading integrations and MetaTrader platform plugins.
Boundary Not banking, payment processing, regulatory compliance or investment advice.
Professional experience with WebGIS, spatial data and map-based applications, connecting location data to real workflows.
Boundary Software engineering with spatial data, not surveying or cartographic production.
How I work
Understand the constraints, make decisions explicit, and ship in verified increments.
Business goals, constraints, stakeholders and the current state of the system.
Boundaries, data ownership, integration flows and quality attributes.
Options compared and trade-offs recorded as ADRs the team can revisit.
Incremental vertical slices instead of a single large rewrite.
Automated tests, code review and regression checks before release.
Technical documentation, release evidence and operational readiness.
AI-assisted engineering
I use AI coding agents inside a structured engineering workflow: they speed up discovery and implementation, while scope, review and release decisions stay with an engineer.
Scope, constraints and acceptance criteria defined by an engineer.
Codebase discovery, planning and drafts with a coding agent.
Tests and regression checks run before changes are accepted.
Changes are reviewed for architecture consistency and intent.
Release evidence and traceable decisions.
An engineer reviews changes before they merge.
Agents work within recorded decisions and module boundaries.
Plans, tests and review notes stay with the change.
Engagement models
Available for remote consulting, project-based engagements, and selected long-term collaborations. Scope, timeline and terms are agreed before work begins.
Focused technical evaluation with clear findings and recommended actions.
Collaborative architecture design and a practical engineering roadmap.
Architecture and implementation support for scoped engineering projects.