Frontend Engineering

With over a decade of experience in modern web technologies, I build scalable React applications that combine exceptional user experience with measurable business impact.

I've architected and delivered complex systems — from interactive dashboards and data visualizations to engineering design tools and deep search platforms with advanced observability. My approach centers on reusable UI components, modern state management, performance tuning, and effortless integration with APIs and real-time data — ensuring every interface feels fast, intuitive, and built to last.

MCP Server Development

The Model Context Protocol (MCP) is redefining how AI applications connect to the internet. As AI agents become the primary interface for digital services, traditional websites are becoming optional — MCP endpoints are becoming essential. I build custom MCP servers that position your business for this shift, creating structured, agent-ready interfaces that make your services discoverable and accessible in an AI-native world.

Whether you need internal AI integrations or want to expose your services to the growing ecosystem of AI agents and applications, I bridge large language models with your systems securely. Your MCP server gives AI real-time access to data, the ability to execute complex workflows, and the context needed to generate real business value — all with proper OAuth 2.0 authentication and scope-based permissions.

I also develop with MCP-UI, enabling rich, interactive interfaces and data visualizations that go far beyond simple text responses. The result is a seamless experience where AI intelligence and interactive interfaces converge naturally. Get positioned now, while the ecosystem is still forming and early movers have significant advantages.

AI Application Development

Off-the-shelf AI tools can help you keep up, but they won't set you apart. True competitive advantage comes from building proprietary AI systems powered by your data and tightly woven into your workflows. These systems don't just automate — they learn, adapt, and compound in value, unlocking insights and efficiencies that competitors can't copy.

AI engineering is the craft of bringing order to inherently probabilistic systems. Whenever possible, start with deterministic solutions — they're reliable, explainable, and efficient. When you reach a boundary only an LLM can cross, use it deliberately. You'll know you've reached that point when a task is too costly to scale with human effort or too complex for deterministic systems to handle. Focus on solving real customer problems, apply generative AI with intent, and let experience guide the balance between precision

Examples of these solutions include Document Intelligence tools that process and classify unstructured documents, Augmented Workflows that embed AI into business processes for greater efficiency, and Autonomous Agents that can independently perform tasks, make decisions, and take action on behalf of the business.