OG.Let's talk

AI-focused software engineer

AI is useful when it becomes a product.

I build the interfaces, APIs, data flows, and cloud systems that turn intelligent models into dependable software.

Explore selected work Résumé
7+ years in software engineeringAWS Certified Solutions Architect – Associate
SYSTEMS + INTELLIGENCE

Selected work

Product systems, built end to end.

A focused selection of web, mobile, and platform work—from the customer experience to the systems that make it dependable.

01

Private product

Learning platform

A personal full-stack product that brings learning, practice, administration, and progress into one coordinated system.

  • Learner web experience
  • Mobile companion app
  • Administration workspace
TypeScriptNext.jsCloud systems

Private project — details intentionally kept high level.

Generic learning platform learner web interface
Learner web app
Generic learning companion mobile interface
Mobile
Generic learning platform administration interface
Admin
Generic content management interface02

Platform

CMS for a local business

A content and operations workspace designed to make everyday publishing, media management, and site updates feel effortless.

Next.jsCMSAuth
Generic e-commerce storefront03

Commerce

E-commerce platform

A responsive storefront shaped around discoverability, a clear customer journey, and practical operations behind the scenes.

ReactCommerceResponsive UI

How I build AI systems

Useful intelligence needs a reliable product around it.

I pair model capabilities with sound engineering so an AI feature is clear to use, observable in production, and built to evolve.

AI integration

OpenAI and Anthropic APIs, Vercel AI SDK, MCP, tool calling, and agentic workflows designed around real product use cases.

Full-stack delivery

TypeScript, JavaScript, Python, React, Next.js, SvelteKit, FastAPI, .NET Core, Phoenix, REST, and SSE.

Data & operations

PostgreSQL, MongoDB, SQL Server, Prisma, ETL workflows, Pandas, NumPy, Spark, Airflow, and practical observability.

Cloud foundations

AWS, Azure, Docker, CI/CD, GitHub Actions, and cloud architecture decisions grounded in maintainability.