2026 - Present
Data / AI Automation Engineer
UBS · Zurich, Switzerland
Works on data engineering and AI automation for enterprise financial workflows, without publishing confidential system details.
About me
I am an AI and data engineer based in Zurich and a PhD candidate in Artificial Intelligence at the Universidad Politécnica de Madrid. My research is supervised by Dr. Daniel Garijo in the Ontology Engineering Group.
I build systems that turn complex or unstructured information into data people and software can use. My work includes knowledge graphs, ontology engineering, research software classification, document AI, RAG, OCR, machine learning, and data platforms.
My research asks how software and scientific knowledge can be classified, aligned, and reused. My engineering work tests those ideas against production constraints: imperfect data, reliability, maintainability, and the needs of the people using the system.
I am currently focused on intelligent knowledge systems, research software, document AI, semantic technologies, and products that combine structured knowledge with useful interfaces.
Experience
Experience across production software, machine learning, data systems, ontology engineering, and technical education. The CV and recruiter summary are included further down this page.
2026 - Present
UBS · Zurich, Switzerland
Works on data engineering and AI automation for enterprise financial workflows, without publishing confidential system details.
2023 - Present
Ontology Engineering Group, UPM · Madrid / Remote
Researching scalable and interpretable classification of research software through machine learning, scientific knowledge graphs, and semantic alignment.
2022 - 2024
Sense6 · Zurich, Switzerland
Building production systems that turn complex, unstructured documents into reliable, decision-ready data.
2022 - Present
Le Wagon · Zurich / Amsterdam
Taught applied data science, analytics, SQL, machine learning, MLOps, and visualization to more than 100 career changers.
2022
Parquery · Zurich, Switzerland
Developed computer vision and large-scale data pipelines for smart mobility, spanning Python, SQL, GCP, and frontend delivery.
2021 - 2022
Ontology Engineering Group, UPM · Madrid, Spain
Created a research software classification method that outperformed the prior state of the art and was integrated into SOMEF.
2019 - 2021
Ericsson · Budapest, Hungary
Built dependable telecommunications software in Erlang and applied machine learning to static-analysis bug prioritization.
Education
2023 - Present
2020 - 2022
2017 - 2021
Expertise
Jump to CVCV
For recruiters and collaborators: Jenifer is relevant for AI engineering, machine learning engineering, data engineering, NLP, LLM/RAG, OCR, knowledge graph, semantic web, and applied AI research roles or projects.
Beyond work
Endurance training, half marathons, and exploring new places on foot.
Recreational tennis, friendly matches, and learning through practice.
Learning German and Spanish, and staying curious about how people communicate.