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Lea Yeh

About

Hi, I’m Lea
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Sr. Software Engineer and Systems Architect with 8+ years across Data Engineering, Data Science, and Software Engineering. Currently at c-sense GmbH — working on two tracks: designing layered software frameworks for SPM instrument control, and leading the company’s internal AI integration initiative end-to-end.

What I work on
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Now — At c-sense I work across two tracks: hardware/software architecture for scientific instruments, and leading the company’s internal AI automation initiative. For the latter, I introduced BDD/SDD as the team’s specification workflow, then designed and am implementing an end-to-end pipeline — multi-source data ingestion, LLM-based extraction and classification, a queryable data layer, and a RAG-powered knowledge base for internal Q&A. Outside of work, I run my own Kubernetes infrastructure (lyeh-infra) and explore DevOps/GitOps/MLOps patterns end-to-end.

On AI — I build LLM applications where they solve real operational problems. The pattern I keep returning to: treat AI as a processing layer with explicit schemas and confidence signals, so the rest of the system can reason about what the model produced.

Always sharpening — I develop lib/api/service projects through real, complex systems to build genuine architecture intuition. Right now I’m working through Linux kernel internals, implementing KFS from scratch — the most complex real-world architecture I know, and the most interesting challenge.

Skills
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Current: Systems Architecture · Data Engineering · MLOps & DevOps & GitOps · LLM Application Development · RAG Pipelines · Structured Information Extraction · Python · C/C++ · SQL · Kubernetes · Docker · ArgoCD · Linux Kernel Internals

Exploring: LLM Platform Infrastructure · Agentic Workflows · AI-assisted DevOps

This site
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Self-hosted on a Hetzner CX23 VM running k3s, deployed via ArgoCD GitOps. Source: lyeh-infra Blog: here

Contact
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