Patrick Deutschmann Email & Phone Number

Graz, Styria, Austria

Developing machine learning models for predicting the risk of adverse events in hospitals

Paris, Île-De-France, France

- Stayed up to date with state-of-the-art research papers on machine learning (especially NLP) and presented new developments to the team- Surveyed and experimented with more efficient Transformers (Longformer, Perceiver IO, etc.) and multi-modal models (text and images) for fact-checking applications- Built information retrieval, semantic search and natural language understanding pipelines using Python, PyTorch, Hugging Face Transformers, Deepset Haystack and PyTorch Lightning- Followed clean coding practices with automated tests, code review and CI/CD on GitLab

Paris, Île-De-France, France

- Focused on natural language processing (NLP) using deep fearning- Analysed, implemented and compared transformer models for multi-modal NER (image and text)- Together with the research team, developed a PyTorch implementation of Perceiver IO and applied it to downstream tasks (i.a. MNLI, image classification, veracity prediction)

Graz, Styria, Austria

- Developed web apps and data integration pipelines- Consulted customers and held workshops to create tailored solutions- Deployed and monitored solutions in cloud environments (AWS, Azure, SAP BTP)- Technologies: Java, Node.js, Python, JavaScript, HTML5/CSS and SAPUI5

Master Of Science (Msc), Computer Science

- Passed with distinction (grade average: 1.1 where 1.0 is best and 5.0 is worst) - Majored in machine learning with courses.

Bachelor Of Science (Bsc), Business Administration

- Majored in Banking and Finance

Bachelor Of Science (Bsc), Software Engineering And Management

- Passed bachelor’s programme with distinction - Appointed to dean’s list of top 5% of students every time since its inception

Computer Science

- Passed with distinction (grade average: 1.0 where 1.0 is best and 5.0 is worst)