Case Studies
Detailed breakdowns of how I approach architecture, modernization, data modeling, secure integrations, and AI-assisted development.
Secure payments
Modernizing a Secure Online Payment Workflow
An anonymized pattern for API-first payment workflows where reliability, auditability, and compliance-minded delivery matter.
Problem
Payment workflows need to be reliable, traceable, secure, and easy to upgrade without interrupting business operations.
API Design
Keep integration boundaries explicit with predictable request/response contracts, validation, logging, and failure handling.
Security Controls
Use encryption-aware design, access controls, audit logging, and release discipline aligned with PCI-style expectations.
Operational Reliability
Plan upgrades, regression checks, and production support so annual compliance or partner changes do not become emergency rewrites. This mirrors real payment-platform upgrade work that consistently passed stringent third-party security testing.
Modernization
Delphi Legacy Modernization Strategy
A step-by-step strategy for improving Delphi, WinForms, Access, or older desktop systems without a risky big-bang rewrite.
Current-State Analysis
Inventory modules, forms, data access patterns, integrations, deployment process, and business-critical workflows.
Business Logic Documentation
Capture rules from code, stored procedures, user behavior, and operational knowledge before changing boundaries.
Database Review
Identify schema risks, legacy Access or SQL Server dependencies, migration scripts, reporting queries, and data integrity checkpoints.
Migration Path
Choose refactor, wrap, replace, or rebuild per module based on value, risk, maintainability, integration complexity, and user disruption. The goal is practical continuity: phased modernization, zero-downtime cutover planning where possible, and data integrity checks during migration.
Blazor
Blazor Dashboard & CMS Architecture
A maintainable architecture for database-driven dashboards, multilingual CMS screens, reporting modules, and internal business tools.
Component Structure
Build reusable tables, filters, forms, summary cards, and workflow panels with clear ownership and predictable state.
Data Flow
Keep data access behind services, use view models intentionally, and avoid leaking database concerns into UI components.
Delivery Outcomes
Use measured release planning and scope control. Comparable delivery work included multilingual systems shipped on time and roughly 20% under budget.
Performance
Use pagination, projection queries, loading states, caching where appropriate, and careful rendering for high-density dashboards and reporting-heavy screens.
AI development
Using AI Agents in Real Delivery Work
A practical approach to using AI tools as engineering support rather than as unreviewed code generators.
Requirements to Code
Convert requirements into scoped implementation tasks, acceptance criteria, and reviewable code changes.
Refactoring Safety
Use AI to propose refactors, but anchor changes with tests, small diffs, and explicit behavioral checks.
Testing & Debugging
Generate test cases, explore edge cases, explain failures, and document debugging paths.
Tools
Use GitHub Copilot, Cursor, Claude, Gemini CLI, and agent-style workflows with clear prompts and human review.