Experience

svexa

• United States
• Wellness and Fitness Services
• 1 - 100 Employee

• Backend Developer & Data Analyst

  • Dec 2020 - Present



FindOut Technologies

• Sweden
• Information Technology & Services
• 1 - 100 Employee

• System Developer

  • Oct 2019 - Dec 2020

  - Scrum Master for an in-house visualization tool development (Trello, React.js, Maven, Docker, PostgreSQL, Java Springboot, Git, Flyway, AWS)- Mycronic: Full Stack developer building a management tool development (JS, Springboot, Node.js, React, JIRA integration, SQL, H2)- Steven: Backend developer building money laundry monitoring system (Java, Maven, Apache Kafka, MySQL, JUnit, Data Streaming) - Scrum Master for an in-house visualization tool development (Trello, React.js, Maven, Docker, PostgreSQL, Java Springboot, Git, Flyway, AWS)- Mycronic: Full Stack developer building a management tool development (JS, Springboot, Node.js, React, JIRA integration, SQL, H2)- Steven: Backend developer building money laundry monitoring system (Java, Maven, Apache Kafka, MySQL, JUnit, Data Streaming)



KTH Royal Institute of Technology

• Sweden
• Higher Education
• 700 & Above Employee

• Masters thesis Student

  • Jan 2019 - Sep 2019

  Recent advancements in image analysis have proven that images contain more information than regular parameters such as intensity, histogram and morphological details. Therefore, in my Masters thesis project we have focused on extracting quantitative, hand-crafted features from nearly 1400 lung CT images to train a variety of classifiers based on them. In the first experiment, in total 424 Radiomics features per image has been used to train classifiers such as: Random Forest (RF), Support Vector Machine (SVM), Decision Tree (DT), Na¨ıve Bayes (NB), Linear Discriminant Analysis (LDA) and Multi-Layer Perceptron (MLP). In the second experiment, we evaluate each feature category separately with our classifiers. The third experiment includes wrapper feature selection methods (Forward/Backward/Recursive) and filter-based feature selection methods (Fisher score, Gini Index and Mutual information). They have been implemented to find the most relevant feature set in model construction.



RISE Research Institutes of Sweden

• Sweden
• Research
• 700 & Above Employee

• Summer Employee (ML implementation)

  • Jul 2019 - Aug 2019

  Natural Language Processing (NLP) for Software testing Natural Language Processing (NLP) for Software testing



BYON8

• Sweden
• Hospitals and Health Care
• 1 - 100 Employee

• A.I and IoT developer (Data processing)

  • Sep 2018 - Feb 2019



Tekniska Högskolans Studentkår

• Sweden
• Events Services
• 1 - 100 Employee

• Marketing Manager (THS International Reception 2018)

  • Mar 2018 - Sep 2018



owzan

• Engineering Intern

  • Jul 2016 - Dec 2016

  - Internship in installation, setup, training and after-sales service for medical instrumentation - Documentation of medical devices services and standardization - Internship in installation, setup, training and after-sales service for medical instrumentation - Documentation of medical devices services and standardization