M.Sc. in Computer Science: Computer Graphics and Vision, Machine Learning and Analytics, Robotics from Technical University of Munich <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Research Journal” _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_heading][et_pb_text _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n This is where I will record the progress of my research<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Aristotelis Tsoutsanis Education M.Sc. in Computer Science: Computer Graphics and Vision, Machine Learning and Analytics, Robotics from Technical University of MunichAboutExperienced Machine Learning Engineer specializing in Computer Vision and Deep Learning. At PreciTaste in Munich, contributed to developing and enhancing deep learning pipelines for real-time vision AI systems in the fast food industry, focusing on […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-905","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t
About<\/strong>
Experienced Machine Learning Engineer specializing in Computer Vision and Deep Learning. At PreciTaste in Munich, contributed to developing and enhancing deep learning pipelines for real-time vision AI systems in the fast food industry, focusing on data preprocessing, model training, and deployment. As a contributor to Smartfield, the world\u2019s first AI-managed autonomous crop field, developed at Technical University of Munich, implemented advanced yield forecast models that optimized fertilizer and growth regulator applications, achieving precise predictions and improved yield outcomes.
Passionate about leveraging vision-based technologies to drive innovative solutions across industries.<\/p>\n<\/div>\n<\/div>\n<\/div>\n