Open to work · AI quality & human-data operations · Remote, US

I run annotation quality and human-data operations for production AI models.

Rubrics, calibration protocols, QA scoring, and human-in-the-loop workflows — backed by 13 years at American Express, and sharpened by building my own AI-assisted tools in Python, SQL, and JavaScript.

Also considering customer experience and support operations. Open to relocation.

résumé (pdf) ↓ view builds →

01 / about

Husband. Father. Builder.

Thirteen years at American Express, the last six on the AI side. I helped build the rubrics and calibration protocols behind our annotation program, and by 2025 I owned the annotation and quality lifecycle end to end for three production models: the U.S. Chatbot, the U.K. Chatbot, and Document AI.

I believe a man should build things that matter, protect what he loves, keep learning, and use his skills to help others. That mindset drives the way I approach technology. I build AI tools, automation systems, and dashboards that bring order to chaos and help people move with more clarity and confidence.

My work is practical by design. Crypto research tools, job search agents, creator analytics, automation workflows, and technical experiments all come from the same place: solve the problem, sharpen the system, and make the next move better.

I love my wife, I love my kids, and I want the work I create to reflect discipline, service, and purpose.

I am also actively sharpening my technical foundation in Python, SQL, JavaScript, and other coding stacks. I use AI tools like ChatGPT and Claude as learning partners, debugging support, and build assistants — but the goal is always the same: understand the work, improve the system, and keep getting better.

02 / what I build

Practical systems built with discipline and purpose.

This is not a basic bio link page. It is a technical portfolio for practical builds, useful systems, and projects that solve real problems.

/01

AI Automation

Practical AI assisted tools that reduce manual work, score decisions, and keep humans in control.

/02

Risk Minded Systems

Trading bots, job agents, and dashboards need limits, safety checks, clean output, and honest constraints.

/03

Creator Intelligence

Social and content data turned into simple insights creators can act on without living in spreadsheets.

/04

Local First Builds

Fast tools that run locally, respect privacy, and deploy cleanly when the project is ready for public use.

03 / github showcase

Projects that prove the skill, not just talk about it.

Loading GitHub stats. Click any card to read the full project details.

04 / stack

Built like a working lab.

The projects share a pattern: automation, analytics, decision support, privacy, speed, and steady technical growth.

languagesPython, SQL, JavaScript, TypeScript, HTML, CSS — active upskilling across modern coding stacks

automationDiscord bots, Telegram alerts, API workflows, scraping pipelines

dataPandas, CSV parsing, SQLite, charts, scoring logic

game_devUnity, C#, hybrid-casual design, mobile monetization systems

deployGitHub, Netlify, Koyeb, Docker, Supabase, local first apps

ai_usageChatGPT, Claude, prompt systems, AI review flows, debugging help, decision support

growthStrengthening Python, SQL, backend logic, cleaner JavaScript, and practical software architecture

05 / contact

Connect with the builder behind the tools.

GitHub for proof, project links for context, support links for people who like the work, and a protected email button for direct contact.

résumé (pdf) ↓ github ↗