Available for AI product engineering
Build AI-native apps that fit how your company actually works.
I help companies turn internal workflows, customer experiences, and product ideas into reliable AI-integrated web and mobile applications. My work sits where product engineering, automation, and practical AI systems meet.
What I build
I build software where AI is part of the product, not a thin feature bolted on at the end. That can mean agentic workflow automation, chat and voice interfaces, AI-assisted research tools, operational dashboards, internal copilots, and mobile or web apps that use models to reduce manual work.
I focus on the full path from idea to usable product: defining the workflow, designing the application surface, integrating AI APIs and data sources, building the frontend and backend, and shipping something a team can actually use.
How I can help companies
- AI-native product builds: New web or mobile apps where AI drives the core workflow, user experience, or business logic.
- Workflow automation: Agentic systems and automation pipelines for repetitive internal processes, support work, research, content operations, reporting, and team coordination.
- AI chat, audio, and video workflows: Interfaces that make AI accessible through practical product experiences, including chat, media workflows, and multimodal user flows.
- MVP to production: Fast product execution using React, React Native, Expo, Node.js, modern JavaScript frameworks, and database-backed application architecture.
- Vibe-code rescue: Debugging and stabilizing AI-generated Next.js, Expo, and JavaScript codebases so the product can move from stuck to shipped.
Relevant experience
My resume centers on building mobile and web products with modern JavaScript tooling, working with startups, and creating AI-integrated workflows. I have worked across React, React Native, Expo, Node.js, databases, and open source technologies to ship applications that are fast, maintainable, and useful to the business.
The common thread in my work is product-minded engineering: understanding the business problem, choosing a practical technical path, and building the smallest reliable system that can create leverage for a team. For companies exploring AI, that means separating useful automation from hype and turning model capabilities into clear product behavior.
Good fit
Startups
You need a working product, fast iteration, and someone who can move across frontend, backend, AI integration, and deployment decisions without slowing the team down.
Teams adding AI
You have existing workflows or product surfaces where AI could remove manual steps, improve speed, or create a better customer experience.
Founders and operators
You know the business process, but need someone to translate it into an app, automation, agent workflow, or internal tool.
Work with me
Send a short note about what your company is trying to build, where the workflow lives today, and what a useful first version should do.