Ilda Hasanovic

Led AI-powered digital transformation in agricultural regulatory processes. Spearheaded NLP text extraction reducing manual work by 85% and accelerating approvals by 40%. Implemented LLM label extraction cutting data entry by 75% while improving accuracy by 60%. Developed chatbot reducing information retrieval time by 50%. Managed cross-functional teams in Agile environments. Delivered 320% ROI through automation projects.

Implemented deep learning (Nested U-Net) to automate organ-on-a-chip monitoring, reducing manual work by 65%. Developed data pipelines with image augmentation, improving neural network training by 45%. Provided technical mentorship and code reviews. Collaborated with research teams translating business requirements into technical solutions. Applied AI/ML to advance biotechnology research.

Applied U-Net++ deep learning to medical imaging, achieving 75% reduction in toxic staining and 92% diagnostic accuracy. Designed pre-processing pipelines improving neural network data quality. Contributed to COVID-related research through AI-powered diagnostic tools. Demonstrated computer vision applications in healthcare diagnostics.