Architecture
The technical surface
Multi-tenant SaaS, mobile apps, AI integrations, payment flows, registry systems, and operational dashboards.
001 / Case studies
These are not concepts or mockups. Every project below is live, serving real users, and built around workflows that had to work in production — not just look good in a screenshot.
This page shows how I think as an engineer: clarify the workflow, design the data model, ship the product, instrument the funnel, harden the system, and keep improving it from real user behavior. Breeder-specific or not, the engineering pattern is the same — complex operational software, delivered end-to-end.
Architecture
Multi-tenant SaaS, mobile apps, AI integrations, payment flows, registry systems, and operational dashboards.
Ownership
Most systems were designed, built, launched, instrumented, and maintained end-to-end as the sole or primary engineer.
Outcomes
Real users, production tenants, retained workflows, active partnerships, and systems used outside demo environments.
Registry, member portal, & event system — live before NRBE 2026.
GSGC runs gecko conformation competitions at major reptile expos with sponsors including Pangea and Repashy. They needed membership, animal registry, event management, and payment workflows without replacing their existing website.
What got built: a custom-branded tenant at gsgc.breedledger.co, operational ahead of NRBE 2026 in Daytona Beach (Aug 15–16). Member onboarding, animal registration, event entry, and admin workflows handled through one system.
Engineering focus: modular adoption, tenant isolation, registry records, event payments, and operational workflows layered behind an existing public site.
004 / The catalog
Other production systems — the ones whose architecture or workflows show up again in the custom-work services.
AI-integrated iOS and web SaaS, built end-to-end as sole engineer.
What changed: reptile keepers moved from scattered notes, spreadsheets, and memory into a structured operational record system with mobile-first husbandry workflows.
Serious reptile keepers and breeders needed more than a pet log. Existing tools were too shallow, too generic, or too disconnected to support genetics, husbandry history, pairings, offspring records, lineage, and long-term collection management in one reliable workflow.
Complete product as sole engineer — Python/FastAPI backend, PostgreSQL data model, React Native iOS app, Next.js web frontend, AI-assisted genetic predictions, husbandry notifications, product analytics, lineage tracking, feeding & weight workflows, and import/export tooling designed for long-term operational records.
ReptiDex is the foundation of the breeding records apps I build for clients. Learn more about Breeding Records & Genetics App →
A custom breeding commerce platform that became the technical foundation for multiple production products.
What changed: the platform proved the architecture. The husbandry and genetics features became ReptiDex. The website builder and registry features became Breed Ledger.
Standard e-commerce platforms cannot handle live animal sales with genetics data. Shopify does not know what a morph is. WooCommerce does not support pairing history. And no marketplace lets a serious breeder control brand, pricing, and buyer relationships the way they need to.
A custom breeding-management and e-commerce platform with a 30+ allele genetics engine, individual animal pages, lineage-aware records, a checkout flow for live animal sales, admin inventory controls, pairing management, buyer communication workflows, and reusable architecture later split into ReptiDex and Breed Ledger.
The technology behind this platform now powers the sales systems I deliver to clients. Learn more about Sales & E-Commerce Platform →
005 / Ready to talk
Whether you're hiring for a senior engineering role or need a custom operational platform, I can walk through the architecture and tradeoffs behind any project on this page. Read every inquiry myself, same day.
006 / Not ready for a custom build?
Free tools, the contract kit, and Breed Ledger cover almost everything. The case studies above are for programs whose problems were beyond what those could fix.