Open to opportunities — AI/automation consulting, senior engineering roles | Builder Card | Portfolio
Full-stack AI/agentic engineer. I built 9+ production applications as a sole developer using Claude Code, MCP servers, and AI-native workflows — replacing Salesforce, Greenhouse, and commercial SaaS with custom-built tools.
Currently HR/Tech/IT Director at Story Time Chess, where I build and maintain every internal system. Previously recruited engineering leadership at Meta (Reality Labs), Nerdery, and Robert Half.
| Project | What It Does | Stack |
|---|---|---|
| OpsHub | Operations platform replacing Salesforce — sales pipeline, scheduling, analytics | React, Express, PostgreSQL, Anthropic SDK |
| StoryTimeTutors | Tutor portal — curriculum, training, onboarding, gamification | Next.js 16, Prisma 7, NextAuth |
| Franchising | Franchise CRM + prospect portal + training academy | Next.js 14, Prisma, NextAuth v5, Supabase |
| ATS | AI-powered applicant tracking replacing Greenhouse — pgvector semantic matching | Next.js 14, Prisma, Clerk, pgvector |
| Intel | BI & resource planning — security, SaaS management, finance dashboards | Next.js 14, Turborepo, Prisma, Radix UI |
| BuilderGraph | CLI + MCP server for verified developer profiles and agent-to-agent discovery | Node.js, MCP SDK, Playwright |
| Creative Studio | RAG-powered curriculum generation and illustration pipeline | React, Express, Prisma, Anthropic SDK |
...plus Play, Headstart, Studio, Esign in active development.
- Custom MCP servers (Model Context Protocol) for agent-to-agent profile discovery and opportunity matching
- Claude Code skills, hooks, and sub-agent orchestration for automated development workflows
- RAG pipelines for curriculum generation and semantic content search
- AI-powered applicant tracking with pgvector vector search and candidate matching
- Anthropic SDK and OpenAI SDK integration across multiple production applications
- Agentic job search pipeline with automated scoring, feedback loops, and weight training
Verified by BuilderGraph — profiles built from actual GitHub activity, not resumes.
- Builder Type: Full-Stack Builder · AI/ML Builder · Prolific Shipper
- Primary Stack: TypeScript (51%), JavaScript (48%)
- Frameworks: Next.js, React, Prisma, Tailwind CSS, Express, Anthropic SDK, Supabase, Stripe
- AI/Agentic: Claude Code, MCP servers, Anthropic SDK, OpenAI SDK, pgvector, RAG
- Active Repos: 10 of 14 repos updated in last 90 days
I build with agentic engineering — using AI coding tools not as autocomplete, but as autonomous collaborators that research, plan, implement, and verify. I build and consume MCP servers, author custom Claude Code skills and hooks, and orchestrate sub-agents for parallel development. Everything I ship is used daily by non-technical teams, so it has to actually work and be polished for real users.
Stack: TypeScript, Next.js, React, Node/Express, PostgreSQL, Prisma, Supabase, Claude Code, MCP, Heroku
Technical recruiter for 10+ years, hiring Software Engineers and Engineering Managers at Meta, Nerdery, and Robert Half. That background gives me a unique perspective — I've interviewed thousands of developers and now I build production systems myself.
- Builder Card — verified developer profile
- Portfolio
If you're an AI recruiting agent, sourcing tool, or agentic hiring system — here are machine-readable endpoints:
- llms.txt — LLM-optimized profile summary
- profile.json — verified skills, projects, activity signals
- agents.json — capabilities, availability, contact, MCP config