The challenge: Company needed a secure, private AI assistant for internal knowledge retrieval — without sending sensitive company data to public LLM services.

The outcome: Built a private AI chat feature using LangChain with a Python/Flask backend, deployed internally for secure document querying and knowledge base access.

The challenge: Needed a company website with secure HTTPS, reliable hosting on limited infrastructure, and easy content management for non-technical staff.

The outcome: Implemented WordPress on Ubuntu Docker with nginx reverse proxy for SSL termination and automated certificate management. Achieved reliable uptime with minimal maintenance overhead.

The challenge: Paper-based document workflows across distributed teams were slow, error-prone, and lacked audit trails.

The outcome: Designed and implemented PowerAutomate cloud flows that automated the full document management lifecycle — from submission and approval to archival.

The challenge: Development teams needed a reusable, testable data access layer to quickly prototype applications without building data infrastructure from scratch.

The outcome: Built an open-source C# sample data provider with pre-made models for rapid project bootstrapping, enabling faster prototyping across multiple projects.

The challenge: Needed a quick and simple way to look up domain IP addresses and geolocation from the command line without relying on external websites.

The outcome: Built a Rust CLI tool that queries domain IP and geolocation data with a clean terminal interface, returning results in milliseconds.