These projects show how I turn an idea into a working application: the interfaces I build, the systems I connect, and the decisions behind them. They come from my work at Axiom Risk Group.
I built a reading library and live market observatory in Next.js and React. The case study covers real-time subscriptions, chart integration, and the challenge of making data freshness and sources understandable.
Community story writing and paid features are planned and not yet available.
I connected local Git hooks, cryptographic file records, and a public provenance report. This project shows my work on developer tooling, desktop packaging, and explaining exactly what a signature can verify.
I built a Windows AI workspace with React, TypeScript, Tauri, and Rust. My focus is the boundary between an AI suggestion and a file change: isolated project copies, visible task activity, and patches the user reviews before applying.
I integrated CRM, support, and product usage data into PostgreSQL. Raw, staging, and analytics layers standardize records and match accounts across systems; SQL models and a Metabase dashboard reveal account health, support performance, and engagement trends.
I built a desktop interface connecting cloud and local models, with task routing, tool use, file handling, and context controls. The work brings model selection and plan-to-build workflows into one place.
I built an on-chain raffle using Chainlink VRF for verifiable winner selection and automated draws. The project connects smart-contract logic with a transparent selection process.
I’m interested in engineering roles where I can bring this work to a team. I’d welcome a conversation about your role and a closer walkthrough of the relevant project.