4+ years engineering production-grade platforms. Multi-module architectures. Backend-heavy systems. Real data at real scale. Shipped across Canada, France, and Germany.
I'm a product architect and systems engineer who builds platforms most people assume require a full engineering team. Multi-module systems, complex backend automation, and data architectures that hold under real-world load.
My background in QA forged an advantage most developers skip — I design for failure states, edge cases, and data integrity before writing a single workflow. I've shipped production systems across Canada, France, and Germany for operators who need reliability, not demos.
My approach: database architecture first, UI second. No full-list searches. Complex logic lives server-side. Query patterns are designed for the load they'll actually face. That's the difference between a Bubble app and a Bubble-built product.
Transitioning toward AI-native product engineering — integrating LLM APIs, intelligent automation, and modern full-stack tooling using React Native, Python, and AWS into the systems I architect.
Production systems, not tutorials
Server-side constraints. Zero full-list scans.
Canada · France · Germany
All maintained. All in production.
Every engagement starts with data modeling. Entity relationships, access patterns, and query paths mapped before a single page exists.
Commission calculations, approval chains, lifecycle transitions — all server-side. Pages stay thin, fast, and maintainable indefinitely.
Constrained queries, filtered searches, server-side pagination. Performance holds at 5K+ records by design, not by luck.
Every search is deliberate. Audit query counts, eliminate redundant operations, structure data to minimize page-load cost.
Reusable elements, shared state patterns, component libraries — built for systems that evolve without rewrites.
Testing background means I stress-test before deployment. Null states, race conditions, permission gaps — found in dev, not production.
Every system begins server-side. The frontend is a thin read layer. Business logic never lives in page workflows if it can live in a backend chain — more reliable, more testable, more scalable.
A beautiful interface on a slow data layer is a product failure. I audit every search constraint, eliminate N+1 patterns, and pre-aggregate before touching any visual component.
Systems need to handle 10× today's load without a rewrite. Pagination, indexed fields, and summary records are first-class concerns from day one — not retrofitted after launch.
If a value can be computed once server-side and stored, it will be. Pre-computed summaries, nightly rollups, cached states — dashboards load from a single read, not 20 live queries.
Operators need systems that work every time. Atomic state transitions, lock fields, rollback logic — the invisible engineering that separates production from prototype.
QA background means I think in failure modes first. What happens if two users submit simultaneously? What if the API returns null? These are architecture questions, not hotfixes.
Recursive workflows, scheduled triggers, bulk operations, complex branching. Full server-side automation at any complexity level.
Relational modeling, optimized query design, pagination patterns, and structures engineered to perform under sustained load.
Search audits, query reduction, conditional rendering, page-level tuning. Systems that handle enterprise data volumes cleanly.
Interconnected dashboards, admin panels, billing systems, and analytics — sharing one unified, optimized data layer.
Stripe, PayPal, OpenAI, Unlayer, Postmark, sportsbook APIs. Exploring AWS, Python automation, and AI API integration.
Purpose-built admin dashboards, audit logging, RBAC, approval workflows, and operational visibility for every system I ship.
Architected two large-scale production platforms from scratch. Multi-module systems with complex backend automation, real-time data integrations, performance-optimized query architecture, and enterprise-grade admin tooling used daily by operators.
Built two-sided marketplace (Pola, Germany), full EdTech platform (LetsLevelUp), and multiple client SaaS products. Stripe/PayPal integrations, email automation, page builder, matching engine.
First production platforms including real-time cricket streaming with 0.3-second recursive API polling. Established core competency in backend workflow design and live data handling.
Systematic testing background forged the edge-case mindset I apply to every system. Reliability engineering, failure-state analysis, and data integrity checks are built into my workflow by default.
I take on production SaaS builds, complex architecture work, and systems that need to scale. If your project needs more than a prototype — let's talk.