Software Architecture and Product Engineering
I help teams design and build software systems that can survive real use: changing requirements, growing teams, operational pressure, and the long memory of code.
Consulting Context
This capability comes from a double practice: academic work in software engineering and hands-on involvement in real products. I have worked around modular monoliths, microservice ecosystems, gateways, identity modules, document workflows, process-oriented application generation, mobile backends, and business platforms where maintainability matters as much as the first delivery.
| Client situation | My contribution |
|---|---|
| The product is growing faster than its architecture. | Clarify bounded contexts, identify modules, define dependency rules, and separate domain, application, infrastructure, and presentation concerns. |
| A team must modernize without stopping delivery. | Propose incremental migration paths, preserve working behavior, reduce risky rewrites, and create technical milestones that can be verified. |
| The system is hard to explain to new developers. | Produce architecture maps, module descriptions, onboarding documentation, code conventions, and examples of expected implementation style. |
| A product idea needs to become buildable. | Translate business goals into use cases, APIs, data models, screens, workflows, and a technical roadmap. |
| Quality is treated too late. | Introduce testing strategy, review discipline, traceability, refactoring habits, and release criteria from the design stage. |
Typical Deliverables
- Architecture diagnosis and risk map.
- Target architecture and migration roadmap.
- Domain model, module map, and dependency rules.
- API contracts, technical specifications, and implementation guidelines.
- Prototype or reference implementation for a sensitive module.
- Testing strategy, quality gates, and release-readiness checklist.
- Developer documentation and onboarding notes.
Engineering Principles
- Architecture should explain the business: modules must reflect real responsibilities, not only technical layers.
- A system should be easy to change in the expected directions: design is judged by future work, not only by today's elegance.
- Trade-offs must be explicit: performance, cost, maintainability, security, delivery speed, and team skill are all part of the architecture.
- Code is a social artifact: naming, structure, tests, and documentation determine how a team thinks together.
- Research matters when it becomes practical: workflow modeling, process execution, service orientation, and formal reasoning are useful when they clarify the product.
Technical Markers
| Area | Representative technologies and practices |
|---|---|
| Architecture | Domain-driven design, hexagonal architecture, modular monoliths, microservices, API gateways, service-oriented systems, BPMN/process modeling. |
| Backend | Java/Spring Boot, Maven, Liquibase, PHP/Laravel, .NET, Node.js, REST APIs, identity, notification, document, billing, and reporting modules. |
| Quality | JUnit, Cucumber, JaCoCo, Jest, Pest, code review, refactoring, test-support modules, integration tests, release gates. |
| Documentation | Architecture notes, system maps, runbooks, README standards, onboarding material, technical decision records. |