Daniel Popek
Machine Learning Engineer at NeuroSYS- Claim this Profile
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Polish Native or bilingual proficiency
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English Professional working proficiency
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German Limited working proficiency
Topline Score
Bio
Experience
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NeuroSYS
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Poland
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IT Services and IT Consulting
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1 - 100 Employee
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Machine Learning Engineer
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Aug 2020 - Present
Highlights: - Applying machine and deep learning algorithms to various NLP and Computer Vision tasks - Developing asynchronous data pipelines - Search engines boosting using Deep Learning - Applying SOTA Object Detection algorithms - Question Answering, semantic linking, recommendation, NER, tagging - Research of state-of-the-art NLP models - Integration of ML solutions with products Highlights: - Applying machine and deep learning algorithms to various NLP and Computer Vision tasks - Developing asynchronous data pipelines - Search engines boosting using Deep Learning - Applying SOTA Object Detection algorithms - Question Answering, semantic linking, recommendation, NER, tagging - Research of state-of-the-art NLP models - Integration of ML solutions with products
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Capgemini
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France
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IT Services and IT Consulting
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700 & Above Employee
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Software engineer/ Working student
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Dec 2017 - Dec 2019
I majored in web applications development, mainly Java-stack backend and Angular frontend in projects related to automotive sector and virtual reality.Highlights:- Spring Boot, Angular, Apache Camel, Devon- microservices, data integration, databases - JUnit, Mockito tests- agile development: Scrum, JIRA, CI - international projects for BMW, Volkswagen, Continental
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Java Intern
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Jul 2017 - Dec 2017
I started my internship at Capgemini in 2017 as Java developer working on a chatbot projectHighlights:- IBM Watson - Java stack, RESTful applications, Git- Node.js, JavaScript, HTML, CSS
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Education
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Politechnika Wrocławska
Master's degree, Data Science, (grade on diploma 5.5 out of 5.5) -
Politechnika Wrocławska
Engineer's degree, Computer Science, (grade on diploma 5.5 out of 5.5)