Exploring the intersection of finance, AI/ML, and software engineering. 9 articles and counting.
In finance, weak retrieval, fragile document automation, and low trust usually start long before model choice. The real bottleneck is structure, metadata, validation, and traceability.
Most founders fail not from lack of ideas, but from a mismatch between their profile and their business model. Here is how I built a tool to address that.
How I built a local-first, zero-tracking XRechnung 3.0 tool for DACH founders — compliant with EN 16931 and KoSIT v3.0, with no backend, no database, and no vendor lock-in.
In finance, weak retrieval, fragile document automation, and low trust usually start long before model choice. The real bottleneck is structure, metadata, validation, and traceability.
Most founders fail not from lack of ideas, but from a mismatch between their profile and their business model. Here is how I built a tool to address that.
How I built a local-first, zero-tracking XRechnung 3.0 tool for DACH founders — compliant with EN 16931 and KoSIT v3.0, with no backend, no database, and no vendor lock-in.
A technical deep dive into extracting perfectly typed JSON data from unstructured HR text using OpenAI Structured Outputs, Zod, and Astro to flip the script on recruitment.
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.
An in-depth guide to ML in German accounting — document AI, anomaly detection, forecasting, and GoBD compliance with reproducible, audit-ready examples.
A research-driven guide to writing fast, safe, and reproducible Julia code—type stability, allocations, dispatch, and disciplined benchmarking.
A research-driven exploration of how ML can augment accounting — from invoice intelligence to anomaly screening — with governance, explainability, and audit-ready design.
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