Hi, I'm
Jordan Liebling
8+ years of building enterprise-scale applications — while also spending the last 2 going deep on AI-enabled engineering workflows, to accelerate myself and others.
Coffee enthusiast. Gym regular. Gamer.
Hi, I'm
8+ years of building enterprise-scale applications — while also spending the last 2 going deep on AI-enabled engineering workflows, to accelerate myself and others.
Coffee enthusiast. Gym regular. Gamer.
TypeScript, React, Angular, Java/Spring Boot, Node.js. Building and shipping across enterprise monorepos and greenfield MVPs alike. Primary and reliable code reviewer, focused on maintaining quality and consistency across the codebase while mentoring others along the way.
Integrating Claude Code and GitHub Copilot deeply into daily development. Building skills.md files, instruction sets, and custom tooling to accelerate AI-assisted workflows. Focused on making these tools practical and repeatable — not just for myself, but to uplift the entire team.
Architected the frontend for a microservices-based platform with AI workflows in mind. Also architected Capitol-Watch using a user-driven design approach. Currently working on a new frontend for Capitol-Watch that leverages modern web technologies and implements AI-driven features.
Real-time congressional activity tracker. Aggregates votes, bills, and legislator data into a clean, searchable interface.
capitol-watch.com →
Lightweight system performance monitor built for keeping tabs on resource usage while running multiple iTerm/tmux terminals with Claude agent teams.
github.com/Jitlan/sysmon →Jordan Liebling is a Senior Software Engineer with 8+ years of experience building production web systems across enterprise and startup environments. Specializing in full-stack development with TypeScript, React, Angular, Java/Spring Boot, and Node.js, Jordan has spent the last two years going deep on AI-enabled engineering workflows.
Key achievements include building a RAG application that reduced subject-matter-expert interruptions by approximately 30%, championing internal AI tooling adoption (GitHub Copilot, MCP servers) that drove a measured 20%+ increase in developer productivity, and serving as architectural gatekeeper for an enterprise-scale Angular monorepo with 100+ pull requests reviewed annually.
Technical expertise spans TypeScript, JavaScript, Java, React, Angular, Next.js, Vue.js, Spring Boot, Node.js, Express, PostgreSQL, Redis, Azure, Docker, and GitHub Actions.