I build backend services, AI powered applications, and API driven systems with a focus on practical engineering problems.

My work spans backend development, agentic AI workflows, retrieval augmented generation (RAG), full stack applications, and cloud native technologies. I also contribute to open source projects involving backend infrastructure, climate technology, and Kubernetes networking.

With a background in business development, marketing, and analytics, I bring a product minded approach to software engineering: understanding the problem, building a solution, and measuring its value.

• 🔭 Currently exploring: Backend engineering, AI application development, and open-source software
• 🤖 AI & LLMs: LangChain, LangGraph, RAG, MCP, vector search
• ⚙️ Backend: Python, FastAPI, Node.js, Express.js, REST APIs
• 🗄️ Data: PostgreSQL, pgvector, Redis, PostGIS
• ☁️ Infrastructure: Docker, Kubernetes, AWS, GitHub Actions
• 🎨 Frontend: React, Next.js, TypeScript
• 🌱 Interested in: AI products, distributed systems, developer tools, and climate technology

An AI application for sustainability research and environmental risk analysis using retrieval pipelines and multi step agent workflows.

• Built multi step agent orchestration and human-in-the-loop review control using LangGraph and FastAPI.
• Implemented hybrid vector search using PostgreSQL and pgvector for granular domain retrieval.

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A healthcare software project exploring electronic health record (EHR) workflows and clinical system interoperability.

• Modeled healthcare data structures adhering to FHIR and openEHR standards for secure interoperability.
• Engineered API driven clinical workflows complete with role based access control (RBAC) and audit logging.

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A climate tech and real estate valuation engine analyzing environmental impacts on long term property asset values.

• Combined local climate forecasting datasets with building energy expenditure estimates.
• Applied discounted cash flow (DCF) modeling to quantify climate driven risk factors in property valuations.

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An integration layer exposing geospatial processing capabilities to LLMs via standard protocols.

• Connected OGC API geospatial workflows directly to AI tools through Model Context Protocol (MCP).

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I active contribute to open source software across backend infrastructure, cloud native tooling, and climate tech:

• Spiderpool: Worked on Kubernetes networking and IP address management (IPAM) enhancements.
• OpenClimateFix: Contributed to Python tooling and solar energy forecasting infrastructure.
• More Open Source: Explore all my active repositories and public activity on GitHub.

“Make it work, make it right, make it fast.” — Kent Beck