Sebastian-Adrian Ciobanu

Teaching Collaborator at Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi
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Contact Information
us****@****om
(386) 825-5501
Location
RO
Languages
  • Romanian Native or bilingual proficiency
  • English Limited working proficiency
  • French Elementary proficiency

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Bio

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Experience

    • Teaching Collaborator
      • Feb 2023 - Present

      'Numerical Calculus', BSc, 3rd year, 2nd term, two laboratories/groups of students 'Numerical Calculus', BSc, 3rd year, 2nd term, two laboratories/groups of students

    • United States
    • Software Development
    • 700 & Above Employee
    • Applied Science Intern
      • Sep 2022 - Dec 2022

      Organization: Product Safety and Compliance (PSC Tech) I constructed a baseline model that creates a 3D representation from multi-view data: grayscale and RGB images and point clouds. Two subproblems investigated are: - linking the 3D points in the point clouds to the 2D image pixels. - salient object detection: we used a model called "TRACER"; we fine-tuned it with our labeled dataset. Technologies: 3D software (MeshLab), Python (PyTorch, Jupyter Notebook), AWS EC2 (deploy code from PyCharm directly to EC2), Sagemaker (Labeling job, Training job), S3

    • Romania
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Java Software Engineer Intern
      • Jul 2022 - Sep 2022

      I worked on a team of 7 Java interns with 4 mentors using the Agile methodology. We created a REST API for a low-code/no-code platform for data science, which supported classification and regression pipelines (data source, transformations, predictions) for tabular data. The ML code was run in Python. Technologies: Java, Spring, Databases (Spring Data, Liquibase), Git, Docker (compose), Google Cloud (BigQuery), Python, Jupyter Lab I worked on a team of 7 Java interns with 4 mentors using the Agile methodology. We created a REST API for a low-code/no-code platform for data science, which supported classification and regression pipelines (data source, transformations, predictions) for tabular data. The ML code was run in Python. Technologies: Java, Spring, Databases (Spring Data, Liquibase), Git, Docker (compose), Google Cloud (BigQuery), Python, Jupyter Lab

    • Teaching Collaborator
      • Oct 2021 - May 2022

      'Machine Learning', BSc, 3rd year, 1st term, four seminars/groups of students 'Numerical Calculus', BSc, 3rd year, 2nd term, two laboratories/groups of students 'Machine Learning', BSc, 3rd year, 1st term, four seminars/groups of students 'Numerical Calculus', BSc, 3rd year, 2nd term, two laboratories/groups of students

    • United States
    • Software Development
    • 700 & Above Employee
    • Applied Science Intern
      • Jul 2021 - Oct 2021

      Organization: Customer Behavior Analytics I constructed a model that learns conditional distributions for regression problems. I used a Mixture Density Network (MDN) model. Technologies: Python (TensorFlow, PySpark), AWS EMR, Sagemaker, Zeppelin, S3 Organization: Customer Behavior Analytics I constructed a model that learns conditional distributions for regression problems. I used a Mixture Density Network (MDN) model. Technologies: Python (TensorFlow, PySpark), AWS EMR, Sagemaker, Zeppelin, S3

    • Teaching Collaborator
      • Oct 2020 - Feb 2021

      'Machine Learning', BSc, 3rd year, 1st term, three seminars/groups of students

    • Research Assistant/Programming Analyst
      • Feb 2020 - Feb 2021

    • Teaching Collaborator
      • Oct 2019 - Feb 2020

      'Machine Learning', BSc, 3rd year, 1st term, three seminars/groups of students

    • Research Assistant/System Engineer
      • Nov 2017 - Jun 2019

    • Teaching Collaborator
      • Oct 2018 - Feb 2019

      'Machine Learning', BSc, 3rd year, 1st term, three seminars/groups of students

    • Teaching Collaborator
      • Oct 2017 - Feb 2018

      'Machine Learning', BSc, 3rd year, 1st term, three seminars/groups of students

    • Romania
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Programmer Intern
      • Jul 2016 - Sep 2016

      I contributed to a project involving real estate data from USA. I used the R programming language and applied some Machine Learning models. The project was in collaboration with the Faculty of Computer Science within 'Alexandru Ioan Cuza University' of Iasi. I contributed to a project involving real estate data from USA. I used the R programming language and applied some Machine Learning models. The project was in collaboration with the Faculty of Computer Science within 'Alexandru Ioan Cuza University' of Iasi.

Education

  • 'Alexandru Ioan Cuza' University of Iasi
    Doctoral degree, Computer Science
    2019 -
  • 'Alexandru Ioan Cuza' University of Iasi
    Master's degree, Advanced Studies in Computer Science (research-based)
    2017 - 2019
  • 'Alexandru Ioan Cuza' University of Iasi
    Bachelor's degree, Computer Science
    2014 - 2017
  • "Mihai Eminescu" National College, Botoșani
    Baccalaureate Diploma, Mathematics and Computer Science
    2010 - 2014

Community

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