Daniel Rosen

Specialist in High-Performance Automation and Data Architecture

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.

Technical Stack and Infrastructure

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.

Core Deliverables

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.

Engagement

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.