Technical Founder & Product Builder. Specializing in AI systems, automation workflows, scalable SaaS architectures, and high-performance APIs.
My engineering focus goes beyond writing code. I architect and build robust systems to solve real-world problems.
Architecting context-aware AI agents, LLM integrations, and robust automated workflows.
Building scalable, secure, and high-performance microservices and RESTful APIs.
Designing and developing complete SaaS products from idea to production.
Streamlining business processes with custom automated systems.
Deploying and maintaining reliable, scalable cloud infrastructure.
A look into some of the core infrastructures and platforms I've engineered.
LLMs require massive context to be useful, but managing and formatting this context dynamically from scattered files is inefficient.
Built a native tool-calling architecture that automatically retrieves, formats, and supplies exact context to six different AI providers (OpenAI, Claude, Gemini, Mistral, Grok, Ollama).
Reduced redundant file creation and database churn by 80%, providing a seamless background-tool workflow for the chat interface.
Need a standardized, fast, and scalable way to bootstrap new REST APIs for microservices without repeating boilerplate.
Developed Ultrapi, a highly-optimized REST framework that handles routing, validation, middleware, and security out-of-the-box.
Cut down new service deployment time from days to hours, ensuring consistent security and performance across all backend projects.
Local market businesses struggled with tracking geo-targeted leads and automating follow-ups across multiple communication channels.
Architected a comprehensive CRM that integrates local lead generation platforms, automated email/SMS workflows, and a robust location-aware dashboard.
Increased lead conversion rates by automatically tracking client context and prompting businesses at optimal times.
The core stack I use to build scalable systems.