Hello, I'm
I build systems where data, APIs, and AI interact — from workflow automation and MCP server integrations to frontend applications that connect it all together.
Software engineer focused on designing systems where data, APIs, and AI work together. My work spans workflow automation, CMS integrations, MarTech pipelines, and AI-assisted development — with an emphasis on building end-to-end solutions that are maintainable and purposeful.
I work with a structured, AI-first approach: writing coding standards and playbooks in Markdown, integrating MCP servers into development pipelines, and using tools like GitHub Copilot as part of a deliberate engineering workflow. My technical foundation includes JavaScript, TypeScript, React, Node.js, and a range of APIs and platforms.
New York, NY
Certificate of Full Stack Software Engineering
Cranford, NJ
Associate Degree in Computer Science
How I approach building systems that incorporate AI — not as a shortcut, but as a structured part of the engineering process.
Designing and implementing AI workflows with clearly defined stages: input collection, structured processing, and action or output delivery.
Writing Markdown-based playbooks and coding standards that give AI tools the context they need to generate consistent, on-spec code across a project.
Integrating Model Context Protocol (MCP) servers into development pipelines to give language models structured access to project context, tools, and APIs.
Building automation that spans CMS platforms, REST APIs, and frontend layers — reducing manual work and keeping data consistent across systems.
Using tools like GitHub Copilot as part of a deliberate engineering workflow — with system prompts, project context, and defined conventions to get reliable output.
Technologies and tools I work with across the full stack — from frontend interfaces to AI pipelines and data integrations.
Building responsive, accessible, and performant user interfaces
GTM, GA4, DataLayer architecture, and marketing integrations
MCP servers, AI workflow design, and structured AI-first engineering practices
Projects focused on systems integration, workflow automation, and AI-driven pipelines.
A browser extension that bridges engineering and non-technical stakeholders. Visualizes codebase architecture through interactive graphs, surfaces git-blame and team ownership data, and integrates with Jira — turning complex codebases into navigable, shareable systems.
An end-to-end automation pipeline that takes structured data from Excel/CSV files and creates populated Contentful pages via the Contentful API. Eliminates manual CMS entry by defining a clear input → transform → publish workflow.
A fully local AI assistant for personal finance built on Ollama. Parses spending data, runs debt payoff projections, and answers budgeting questions — entirely offline, with no cloud dependencies or third-party logins.
A guided tool for defining, configuring, and deploying custom AI agents. Features a conversational build pipeline, structured configuration output, and Docker support — designed to make agent creation repeatable and portable.
This site — built with Next.js, TypeScript, and Tailwind CSS, deployed via GitHub Pages. Structured as a component-based system with clean data separation so content and layout stay independently maintainable.
Always interested in connecting with fellow developers and exploring new opportunities. Whether you have a question or just want to say hi, let's chat!
New Jersey, United States
Open to remote opportunities
