I build that ship.
8 years taking complex platforms from blank page to production, 4+ years leading engineering teams while staying hands-on, and one of the earliest adopters of AI-native development: I introduced MCP, Claude Code and Cursor company-wide and retrained whole teams around them. Most recently I designed, built and launched a paid iOS finance app solo, from Figma to App Store review.
Builds from zero.
Leads from the inside.
Equally comfortable architecting AWS infrastructure, untangling production incidents at 2am, and mentoring engineers into leaders.
I'm a Senior Full Stack Lead Engineer with 8 years of experience taking complex platforms from blank page to production, and 4+ years leading engineering teams while staying deeply hands-on.
Twice I was trusted to architect financing platforms from scratch: systems handling real money, where reliability isn't optional. I delivered them with high-availability AWS infrastructure, observability and automated pipelines.
I was one of the earliest adopters of AI-native development in my organizations. I introduced Model Context Protocol, Claude Code and Cursor AI company-wide, wrote the standards and retrained entire teams, fundamentally changing how software gets shipped.
8 years, four companies,
zero hand-offs.
From freelance work as a second-year student to leading five-engineer teams and architecting platforms that process real financial transactions.
Don't take my word for it.
Try the apps.
Every personal project here was designed, built and deployed by me alone. Five of them run live inside this page: open one, tap around, break it if you can.
Want to read the code? Every personal project above lives in one place on GitHub, with its README, architecture notes and deployment runbooks. Open a project to see the full list of skills it demonstrates.
All repositories on GitHub ↗Full stack, for real.
Backend, frontend, mobile, cloud, data and AI tooling. Whatever the stack, I pick it up fast and ship it at production quality.
I led the AI transition twice. I can lead yours.
Introducing tools is the easy part. The work is in the standards, the review rules and the training that let a team move fast without lowering the bar.
- MCP integrations that connect assistants to internal tools and data
- Company-wide Claude Code and Cursor rollout, with usage standards and training
- Code-review rules and guardrails for AI-generated code
- Production LLM features: an AI money coach, photo-to-timetable, notes-to-reviewer
- Recruited by FurtherEdge Co. in second year on the strength of freelance client work
- Shipped production applications on AWS while completing the degree