Exploring the intersection of finance, AI/ML, and software engineering. 5 articles and counting.
A research-focused breakdown of a performant and maintainable portfolio tech stack, exploring modern frontend patterns, performance strategies, and type-safe development workflows.
A research-driven guide to Rust's lifetime system—clear intuition, compiling examples, and safe alternatives when ownership gets tricky.
A research-driven exploration of how ML can augment accounting — from invoice intelligence to anomaly screening — with governance, explainability, and audit-ready design.
A research-focused breakdown of a performant and maintainable portfolio tech stack, exploring modern frontend patterns, performance strategies, and type-safe development workflows.
A research-driven guide to Rust's lifetime system—clear intuition, compiling examples, and safe alternatives when ownership gets tricky.
A research-driven exploration of how ML can augment accounting — from invoice intelligence to anomaly screening — with governance, explainability, and audit-ready design.
An in-depth exploration of applying modern ML techniques to German accounting workflows—covering document AI, anomaly detection, forecasting, and GoBD compliance with reproducible examples and audit-ready practices.
A research-driven guide to writing fast, safe, and reproducible Julia code—type stability, allocations, dispatch, and disciplined benchmarking.