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- TypeScript
- React
- Next.js
- Tailwind CSS
- Accessibility
- Core Web Vitals
- Python
- Django
- FastAPI
- Node.js
- REST & GraphQL APIs
- Background jobs & queues
- PostgreSQL
- Redis
- Schema & migration design
- Query performance
- Reporting pipelines
- LLM integration
- Retrieval-augmented generation
- AI agents & workflows
- Evaluation harnesses
- Cost & latency control
- AWS
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Monitoring & alerting
- Architecture review
- Code review
- Automated testing
- Technical documentation
- Handover & training
A K-beauty retailer in Mexico, running entirely on software we built.
Yoon Lab sells Korean skincare online and through physical stores across Mexico. We build and operate the whole stack — the storefront customers buy from, the ERP the business runs on, the POS at the counter, and the AI that tells a shopper what their skin actually needs.
- 369
- Products live
- 30+
- Korean brands
- 11+
- Skin concerns indexed
- 2
- Sales channels
Shop the way people actually shop for skincare
Filter by ingredient, brand or concern — acne, dehydration, dark spots, open pores, weakened skin barrier.
Stock state is live on every card, down to “only 4 left”, because that is what moves a decision.
An app, not a mobile site
Most of this traffic is on a phone, so mobile behaves like an app — persistent bottom navigation, localised in Spanish, priced in MXN.
And skincare in Mexico sells through short-form video: creator clips with the product attached and a direct path to buy, built into the storefront rather than linking out to social.
Home 
Video feed 
Catalogue
AI skin analysis, wired into the catalogue
The catalogue was already indexed by skin concern. The scan maps onto that same index — so a shopper who only knows their skin feels dry gets a routine built from products genuinely in stock, with the reasoning attached.
- 01
Scan
Customer uploads a photo
- 02
Analyse
Skin concerns assessed
- 03
Recommend
A routine from live stock
AI systems and products, in production
- logistika-urbana-erp.appFigures redacted
ERP / OperationsClient engagementLiveLogistika Urbana ERPMexico City, Mexico
The full back office behind the storefront — inventory, purchasing, orders, finance and a custom POS, all running off one synced system.
- 12
- Modules in production
- POS
- Custom-built terminal
- 2024→
- Continuously shipped
- Django
- Django REST Framework
- PostgreSQL
- +10
- LogistikaUrbana POS · Android tablet
Android / Point of saleClient engagementLiveLogistika Urbana POSMexico City, Mexico
A native Android point-of-sale app for the store counter — offline-first, tied to a specific tablet and warehouse, printing to the receipt printer beside it.
- Offline-first
- Keeps selling without network
- Device-bound
- Tablet paired to a warehouse
- Android 7+
- Tablet-optimised
- Kotlin
- Jetpack Compose
- Room
- +4
Our engineering is public.
We publish the systems we build — AI agents, voice agents and production infrastructure — so you can read the code before you hire us.
Three-Tier DevSecOps
A complete DevSecOps pipeline on AWS EKS — Kubernetes, Terraform, Jenkins, ArgoCD, security scanning and monitoring, end to end.
22129MITAI Receptionist
An AI voice agent that answers the phone and books appointments, built on the Claude SDK.
178Open sourceHearthline
An open source AI front desk for home-service businesses — call handling, lead capture and quotes.
73AGPL-3.0AI Hiring Agent
A recruitment screening system that reads applications and ranks candidates, built with Django, Next.js and the Claude API.
22Open source
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