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I am John Staib Matilla, a MSc Computer Science (Machine Intelligence) candidate at ETH Zurich, passionate about building AI systems that learn from new data and translate research into practical solutions. As an AI Engineer Intern at MECAS in Zurich, I architect production-grade document extraction pipelines, benchmark LLMs, and contribute to cloud-based infrastructures, always focusing on delivering measurable business value to clients in insurance and logistics.…I am John Staib Matilla, a MSc Computer Science (Machine Intelligence) candidate at ETH Zurich, passionate about building AI systems that learn from new data and translate research into practical solutions. As an AI Engineer Intern at MECAS in Zurich, I architect production-grade document extraction pipelines, benchmark LLMs, and contribute to cloud-based infrastructures, always focusing on delivering measurable business value to clients in insurance and logistics.

John Staib Matilla

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

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I am John Staib Matilla, a MSc Computer Science (Machine Intelligence) candidate at ETH Zurich, passionate about building AI systems that learn from new data and translate research into practical solutions. As an AI Engineer Intern at MECAS in Zurich, I architect production-grade document extraction pipelines, benchmark LLMs, and contribute to cloud-based infrastructures, always focusing on delivering measurable business value to clients in insurance and logistics.…I am John Staib Matilla, a MSc Computer Science (Machine Intelligence) candidate at ETH Zurich, passionate about building AI systems that learn from new data and translate research into practical solutions. As an AI Engineer Intern at MECAS in Zurich, I architect production-grade document extraction pipelines, benchmark LLMs, and contribute to cloud-based infrastructures, always focusing on delivering measurable business value to clients in insurance and logistics.

Available to hire

I am John Staib Matilla, a MSc Computer Science (Machine Intelligence) candidate at ETH Zurich, passionate about building AI systems that learn from new data and translate research into practical solutions.

As an AI Engineer Intern at MECAS in Zurich, I architect production-grade document extraction pipelines, benchmark LLMs, and contribute to cloud-based infrastructures, always focusing on delivering measurable business value to clients in insurance and logistics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Spanish; Castilian

Fluent

English

Fluent

German

Fluent

Work Experience

AI Engineer Intern at MECAS

October 1, 2025 - April 1, 2026

Built production document extraction pipelines for enterprise clients, benchmarking and improving LLM-based extraction quality across models and configurations, designing agentic AI workflows to automate multi-step document processing tasks, and contributing to cloud infrastructure on GCP using Prefect and containerized services; acted as technical lead for client demos translating LLM results into business value.

Junior Consultant at SELISE Digital Platforms

September 1, 2022 - January 1, 2023

Evaluated technology stacks for client projects and delivered solution design documents; served as the technical link between engineering teams and clients, translating complex technical concepts into clear, actionable recommendations for business stakeholders.