Ayse YILMAZ

Managed large datasets for AI training, ensuring quality and accuracy and improving preprocessing and validation pipelines to boost model performance. Collaborated with international teams to optimize end-to-end machine learning workflows.

Built AI models for anomaly detection and generative voice systems and delivered end-to-end solutions including deployment, documentation, and interactive Python dashboards for clients. Collected, labeled, and preprocessed audio datasets for generative voice AI projects.

Conducted outlier detection and anomaly analysis on high-volume datasets and supported labeling and verification to improve training data quality. Developed and optimized training pipelines using TensorFlow and PyTorch to enhance model performance.

Implemented predictive maintenance solutions for aircraft systems, managed technical documentation, and optimized workflows to improve aircraft performance and safety. Applied engineering analysis to support project coordination and system reliability.

Completed a degree in Electrical and Electronic Engineering with coursework relevant to electronics and engineering principles.