What I Build
These aren't skills on a checklist — they're categories of systems I've shipped in production.
Product & Software Engineering
I build full-stack SaaS products, APIs, and internal tools that scale.
- Full-stack SaaS development
e.g., built a client workflow platform replacing 4 separate tools
- API design & system architecture
e.g., designed multi-location inventory sync with sub-second latency
- Internal tools & admin dashboards
e.g., analytics dashboards consolidating 5+ data sources
- Cross-platform applications
e.g., React Native mobile apps with shared business logic
AI & Automation
I automate workflows and integrate AI where it actually solves a problem.
- Workflow automation (n8n, custom)
e.g., automated campaign management saving 20+ hours/week
- AI-assisted decision systems
e.g., LLM-powered operational analysis reducing decisions from days to minutes
- LLM integrations & prompt engineering
e.g., automated email classification reducing manual triage by 90%
- Data pipeline automation
e.g., ETL pipelines processing multi-platform ad data in real-time
Business & Growth Systems
I build the analytics and automation infrastructure that drives revenue.
- Analytics infrastructure & dashboards
e.g., unified ROAS reporting across Google, Meta, TikTok, and more
- Marketing automation systems
e.g., automated client reporting replacing 2 days of manual work
- Performance optimization tools
e.g., budget allocation engine improving ROAS by ~35%
- Revenue-focused data engineering
e.g., BigQuery pipelines powering real-time revenue dashboards
My Approach
Problem First
I start with the business problem, not the tech. The right tool depends on the context.
Production Ready
Everything I build is designed for real usage — not demos. Security, performance, and maintainability matter.
AI When It Matters
I integrate AI automation where it actually solves a problem — not as a buzzword.