I am dedicated to writing software that is easy to understand, test, and maintain over time. Whether I am transitioning complex legacy processes into scalable APIs using the .NET ecosystem or designing robust backend pipelines, my focus is on delivering practical business value without creating technical debt. To continually adapt to new challenges, my current personal projects involve integrating modern tooling, specifically exploring Python and RAG architectures for localized data processing.
The core technologies and architectural patterns powering my featured work. Every tool listed here represents a practical competency applied directly to my API migrations, data pipelines, and active proof-of-concepts.
A showcase of systems, applications, and tools engineered to solve complex problems.
Built a highly concurrent, ultra-low-latency backend interface delivering real-time aggregations and optimized relational data layers.
A production-grade GitHub Template enabling atomic full-stack commits across ASP.NET Core & Next.js, with a path-filtered CI/CD pipeline that rebuilds only the affected service on every push.
A local SQLite graph database server that indexes codebase entities (classes, methods, imports) to dramatically reduce LLM token usage during agent coding.
Welcome to my engineering log—where I document the triumphs of optimizing backend architectures and the inevitable late-night debugging sessions. From caching strategies to custom game engines, here's what I've been working on.
Where the rubber meets the road (and occasionally catches fire). These articles cover production-grade architectures, battle-tested methodologies, and the technical hurdles I've navigated to keep enterprise systems running smoothly at scale.
Because writing code from 9 to 5 just isn't enough. Here you'll find my side quests: explorations into game engines, AI tooling, and whatever else caught my attention over the weekend. Built purely for the joy of learning (and breaking) things.
Whether you're looking to modernize legacy data processes, migrate reports into high-performance APIs, discuss Python and localized LLMs, or just chat about hardware and custom lightsabers feel free to reach out via LinkedIn or explore my work on GitHub.