At ROGII, I built and operate an autonomous multi-agent coding system that picks up Jira tasks, writes fixes, passes independent AI review, and opens merge requests. I also built its guardrails, RAG layer over project documentation and code history, and evals for measuring quality.
I moved QA from manual work to agent-driven Playwright end-to-end testing, and created reusable agent skills that support onboarding across QA, product, and engineering.
As an independent engineer, I built LLM pipelines and more than 20 AI features for a B2B parts marketplace, using structured outputs, tracing, and an eval suite over 1,300+ labeled examples. I also built a read-only MCP server and AI analytics for a labor-planning SaaS.
Before focusing on AI, I worked on frontend and full-stack products. At ROGII, I built a Canvas-based well cross-section visualization and migrated the mapping layer to Mapbox; at ROKO Labs, I reduced bundle size by 15% and page load time by 20%, and built a virtualized grid for 10,000+ rows at 60fps.

