Full-stack appsbuilt to survivereal users.
I build web and mobile products from idea to production: interfaces, backend systems, databases, cloud deployments, automations, and AI integrations that hold together beyond the demo.
Surface
Web apps · Mobile apps
Core
Frontend · Backend · Cloud
Edge
AI · Automation · Realtime
One engineer for the product surface and the system behind it.
The useful part is not just knowing several stacks. It is knowing how the pieces should meet: UI, state, APIs, data, infrastructure, and the workflows people actually use.
Web apps and SaaS platforms
Product interfaces, dashboards, portals, marketplaces, admin tools, auth flows, and data-heavy user experiences.
Mobile apps
Flutter, iOS, Android, offline-first flows, realtime features, app-store-minded builds, and product iteration after launch.
Backend APIs and databases
Application APIs, database models, integrations, permissions, background jobs, payments, and the logic that keeps the product coherent.
Cloud and deployment systems
Hosting, containers, CI/CD, environment design, observability basics, and the infrastructure decisions that keep releases boring.
AI integrations and automations
AI-assisted workflows, RAG/search, tool calling, voice or call flows when needed, and internal automation that saves real operator time.
Internal tools and workflows
Operational dashboards, workflow apps, CRM-style tooling, reporting surfaces, and systems that replace messy spreadsheets or manual handoffs.
Fast prototypes are easy now. Durable products still need architecture.
I am comfortable moving quickly with AI-assisted workflows, but the work does not stop at generated screens. The production questions still matter: where the state lives, how data changes, what breaks under load, how releases happen, and who can maintain it later.
Architecture before acceleration
AI can generate screens quickly. The product still needs the right boundaries, data model, auth shape, deployment plan, and failure handling.
Built for real usage
The goal is not a polished demo that falls apart. It is an app that stays understandable and maintainable when hundreds or thousands of users show up.
AI-assisted, human-owned
I use modern AI workflows where they help, then review, structure, test, and ship the code with engineering judgment still in charge.
Clear scope, clean architecture, usable releases.
A good build has a rhythm. We keep the first version focused, avoid architecture theater, and make every technical decision serve the product.
01
Clarify the product
We define the core workflow, user roles, must-have screens, risky integrations, and what the first usable version should actually prove.
02
Shape the system
I map the frontend, backend, data model, auth, infrastructure, and third-party services so the build has a clean technical spine.
03
Build the usable version
I ship the interface, API, database, integrations, and deployment path in tight loops, keeping the product testable as it grows.
04
Launch and harden
We test real flows, fix edge cases, tune performance, document the important pieces, and make the release something you can rely on.
04 / Engagements
Useful when there is something real to ship.
I am a fit when you need someone who can own the product build end to end, or step into a messy app and make the technical path clearer.
New MVP or product build
Existing app improvement
Mobile app development
Backend or API buildout
AI or automation layer
Technical review and rescue work
05 / Start
Tell me what you want to build.
A few lines are enough: what the product should do, who it is for, what already exists, and where you feel stuck.
New builds · production fixes · app rescue