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I'm a Swiss-British AI Engineer actively relocating to Zurich, with three years of experience in AI, machine learning, and software development. I focus on architecting scalable machine learning applications, multi-agent systems, and MLOps infrastructure. My experience includes engineering agentic RAG pipelines at Sparkling Co. and prototyping ML models while scaling high-concurrency backend microservices at Netcompany. I enjoy turning complex data into robust, data-driven products and collaborating with cross-functional teams to deliver value.…I'm a Swiss-British AI Engineer actively relocating to Zurich, with three years of experience in AI, machine learning, and software development. I focus on architecting scalable machine learning applications, multi-agent systems, and MLOps infrastructure. My experience includes engineering agentic RAG pipelines at Sparkling Co. and prototyping ML models while scaling high-concurrency backend microservices at Netcompany. I enjoy turning complex data into robust, data-driven products and collaborating with cross-functional teams to deliver value.

Lian Arthofer

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm a Swiss-British AI Engineer actively relocating to Zurich, with three years of experience in AI, machine learning, and software development. I focus on architecting scalable machine learning applications, multi-agent systems, and MLOps infrastructure. My experience includes engineering agentic RAG pipelines at Sparkling Co. and prototyping ML models while scaling high-concurrency backend microservices at Netcompany. I enjoy turning complex data into robust, data-driven products and collaborating with cross-functional teams to deliver value.…I'm a Swiss-British AI Engineer actively relocating to Zurich, with three years of experience in AI, machine learning, and software development. I focus on architecting scalable machine learning applications, multi-agent systems, and MLOps infrastructure. My experience includes engineering agentic RAG pipelines at Sparkling Co. and prototyping ML models while scaling high-concurrency backend microservices at Netcompany. I enjoy turning complex data into robust, data-driven products and collaborating with cross-functional teams to deliver value.

Available to hire

I’m a Swiss-British AI Engineer actively relocating to Zurich, with three years of experience in AI, machine learning, and software development. I focus on architecting scalable machine learning applications, multi-agent systems, and MLOps infrastructure.

My experience includes engineering agentic RAG pipelines at Sparkling Co. and prototyping ML models while scaling high-concurrency backend microservices at Netcompany. I enjoy turning complex data into robust, data-driven products and collaborating with cross-functional teams to deliver value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Italian

Fluent

French

Advanced

Work Experience

AI Engineer at Sparkling Co.

September 1, 2024 - Present

Engineered an agentic RAG pipeline using FastAPI and the Model Context Protocol (MCP), implementing semantic chunking and schema-driven LLM extraction to autonomously parse raw CVs into strict data formats; Optimized information extraction by applying PEFT (LoRA) to fine-tune the LLM, encoding embeddings into Pinecone to run semantic similarity searches against job descriptions; Architected a hierarchical multi-agent pipeline using Claude Code, featuring a lead planner agent that interfaces with Jira for task generation and autonomously delegates code execution to specialized worker agents; Engineered robust data pipelines by querying complex operational datasets with SQL and preprocessing unstructured text via Pandas to optimize downstream model ingestion; Containerized applications using Docker and built GitOps CI/CD pipelines for automated deployment on AWS using ArgoCD and k3s.

Software Engineer / IT Consultant at Netcompany

September 1, 2022 - March 1, 2024

Prototyped engagement propensity models using Vertex AI and BigQuery ML (XGBoost), defining the SQL data pipelines and evaluation metrics necessary to transition experimental AI features into production environments; Contributed to refactoring core microservices for the British National Careers Service (NCS), improving codebase maintainability for a platform supporting 650,000+ annual users and reducing deployment bottlenecks; Collaborated on backend feature development for the Mit.dk mailbox application, delivering stable code to support the 2023 launch for 3 million citizens.