Dr. AmirAbbas Davari

- Designing and deploying large-scale end-to-end recommender systems for audience targeting and ad personalization, leveraging ML/DL to target high-propensity users, driving higher CTR and improved RoAS. - Built scalable ETL and ML pipelines using PySpark and Ray to process big data efficiently. - Led and mentored more junior applied scientists, fostering technical growth and best practices. - Managed key stakeholders and partnered with senior leadership to align technical solutions with business goals.

- Developed and deployed machine learning-based solutions and ETL pipelines for credit card fraud detection and churn prediction. - Mentored my junior and mid-level data scientist colleagues. - Close collaboration with the main stakeholders to align technical solutions with business goals.

- Deep learning-based glacier calving front segmentation in Synthetic Aperture Radar (SAR) imagery. - Technical leadership and mentoring a team of junior researchers.

- Machine learning and deep learning-based image analysis research with a focus on: 1) hyperspectral remote sensing image classification, 2) segmentation of pigments in hyperspectral and RGB images of historical drawings, and 3) breast cancer detection and segmentation in histology and MRI images. - Assisting in teaching and managing labs for the following courses: Pattern Analysis (PA), Pattern Recognition (PR), Computer Vision (CV), Interventional and Diagnostic Medical Image Processing (IMIP, DMIP).

My research focused on machine learning, deep learning, and image processing, in both remote sensing and medical applications.

My studies and research focused on machine learning-based image and video processing, particularly using RGB and depth imagery.