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Jakub Chłędowski has worked in various roles and companies throughout their career. Jakub currently serves as a Computer Vision Engineer at Neurolabs since December 2021.

Prior to this, Jakub worked as a Research Assistant at Jagiellonian University from April 2020 to September 2020. During this time, they focused on improving the classification and localization of malignant cancer lesions. Jakub also created a meta-repository to enhance comparison between breast cancer detectors.

From September 2018 to August 2020, Jakub worked as a Deep Learning Specialist at APPLICA.AI. In this role, they finetuned deep contextualized language models to improve the quality of the semantic search solution. Jakub also implemented sentence segmentation techniques to improve model scalability and trained dual-source BERT/T5 models for document-specific question answering.

Jakub briefly worked as a Deep Learning Engineer at diCELLa in July and August 2018, where they likely focused on deep learning projects.

As a Machine Learning Intern at CodiLime from July to September 2017, Jakub created a simulation of a drone flight using ROS and utilized imitation learning to teach the drone to fly. Jakub also trained an object detection model to accurately localize banners in sporting event footage.

Before that, Jakub worked as an Independent Contractor at 3Blocks from March 2016 to June 2017. Unfortunately, no specific role information is available for this position.

Their earliest known work experience was as a Derivatives Specialist at State Street from July 2015 to February 2016.

Overall, Jakub Chłędowski's work experience spans computer vision engineering, deep learning, research, machine learning, and derivatives.

Jakub Chłędowski has an extensive education history. Jakub obtained their Bachelor's degree in Mathematics from Jagiellonian University in 2015. Following this, they pursued their Master's degree in Applied Mathematics at the same university, completing it in 2017. During this time, Jakub also enrolled at the UPC School (Universitat Politècnica de Catalunya) from 2016 to 2017, where they earned another Master's degree in Artificial Intelligence. Building on their educational achievements, Jakub became a Visiting Researcher at New York University in 2019, focusing on Deep Learning. Currently, they are pursuing a Ph.D. in Deep Learning at Jagiellonian University, which they expect to complete in 2023.