Daniel Rosen

I bridge the gap between complex infrastructure and business utility. My approach is rooted in the belief that robust technical foundations—built on speed and reliability—are the primary drivers of project ROI.

I do not just write code; I architect the environments where it lives. My production workflows and personal lab are built on a philosophy of reproducibility and performance:

• Systems Engineering: Management of a multi-host NixOS Incus cluster, orchestrating everything from PostgreSQL and Zitadel to decentralized validators and custom GitHub runners.
• Languages: High-performance systems in Rust, scalable backends in Go, and flexible integrations in TypeScript.
• Environment: Heavy Nixvim (Neovim) user with a focus on reproducible development environments and minimalist, high-efficiency toolchains.

I specialize in transforming technical debt into streamlined, automated assets. Whether it is a Pandoc wrapper for document standardization or complex Web3 data validation, I build for performance and longevity.

• Data Normalization: Transforming messy, disparate sources into clean, structured datasets for LLM preparation or business intelligence.
• Architectural Integrity: Moving beyond fragile scripts to create containerized, scalable solutions.
• Computational Efficiency: Leveraging low-level languages like Rust to minimize compute overhead and maximize throughput on platforms like Apify.

I am open to challenges involving complex data pipelines, custom document automation, or infrastructure optimization. If you require a solution that is both technically superior and commercially viable, I am available for consultation.