Summary
Maria Zontak is a research engineer and multimodal generative AI specialist with a PhD in Computer Science and a decade of experience applying computer vision and deep learning across industry and academia. She has shipped production ML systems at Amazon (including multimodal LLMs and deployed VLM finetuning) and contributed CV solutions at Microsoft and Prime Air, with work presented at workshops and WACV. Her deep technical roots in image processing—denoising, super-resolution, deblurring and correspondence—are complemented by extensive expertise in MATLAB, C/C++, and modern DL frameworks like PyTorch and Keras. Maria combines strong research credentials (12 papers, CVPR publications and a cited US patent) with practical product delivery, from content moderation to airborne object tracking. She mentors, organizes community workshops, and reviews top-tier CV research, reflecting a rare blend of foundational research and pragmatic engineering. Based in Seattle, she thrives on multidisciplinary challenges and building multimodal systems that bridge academic advances and real-world impact.
11 years of coding experience
12 years of employment as a software developer
Master, Electrical Engeneering, Master, Electrical Engeneering at Technion - Israel Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Weizmann Institute of Science
English, Russian, Hebrew