Gabriel Ziegler

Built agentic systems to automate logistics in Mexico, owning backend, frontend, and infrastructure components to deploy production agents that streamlined operations.

Delivered backend and cloud engineering for a Canadian tech client during a 3-month contract, implementing scalable services and CI/CD improvements.

Developed LLM-powered KPI extraction and a sustainability data visualization dashboard, and contributed backend/frontend features to improve product experience.

Worked under NDA as a Python engineer for a leading AI research company, delivering production-grade code and research engineering support.

Developed, deployed, and monitored audio deep learning models for speech recognition, improving speaker verification EER by 20% and diarization DER by 30% using MLOps practices.

Built ETL pipelines, performed EDA, and delivered client-focused ML models, improving a credit limit model by 10 percentage points in F1 score.

Developed a national transport traffic dashboard in SAS Viya to visualize and analyze transportation data for stakeholders.

Developed multiclass and multilabel NLP models for a major Brazilian judiciary project, handling EDA, ETL, and large-scale model training across thousands of classes.

Completed a Master of Science in Data Science as a scholar student with a minor in entrepreneurship, focusing on applied data science methods and research.

Completed a Master of Science in Data Science and Artificial Intelligence as a scholar student with a minor in entrepreneurship, emphasizing AI methods and applications.

Completed a Bachelor of Engineering in Software Engineering; thesis on context-dependent probabilistic prior information for MRI reconstruction.