I'm Daniel, a Senior Software Engineer working across backend services, cloud infrastructure, and distributed systems in Kubernetes, Go and Python. I like building software that makes complex systems easier to operate and extend, from LLM-powered tooling and frameworks to operators and production services.

• LLM systems — RAG, agent orchestration, tool use, prompt engineering, inference optimization (vLLM, Ollama, KV caching)
• Go/Python — backend services, infrastructure, and systems work
• Kubernetes & operators — operating, debugging, and building on top of it
• Distributed systems — observability, resilience, and scalable architectures
• Data systems — pipelines, ETL/ELT patterns, platform engineering
• Open source — learning from communities and contributing back

• go-to-rag — Self-hosted RAG engine in Go with embeddings, vector search, and MCP interface. Composes local retrieval (Ollama) with production inference (vLLM) and remote reasoning (Claude/OpenAI).
• agent-forge — Multi-turn agent orchestration in Python. Explores tool use, KV caching, and vLLM for running capable agents on local or remote inference backends.
• pipeline-forge — Kubernetes-native data pipeline platform built with Kubebuilder in Go. Declarative pipeline orchestration with full operator lifecycle management.