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Rareș Popa
Software Engineer
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Rareș Popa

Software Engineer
I am a Computer Science Graduate who loves solving challenging problems that have a huge impact in the real world. I have great analytical, communication and problem solving skills and I am looking to grow myself in the field of software development.
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Logiscool Romania
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Technical University of Cluj-Napoca

Trình độ chuyên môn

  • Tình trạng hiện tại
    Thất nghiệp
  • Nghề nghiệp
    Software Engineer
  • Lĩnh vực
    Phần mềm
  • Kinh nghiệm làm việc
    2-4 năm (1-2 năm liên quan)
  • Kinh nghiệm quản lý
    I've had experience in managing 10-15 nhân viên
  • Kỹ năng
    C
    Github
    Java
    JavaScript
    Linux
    Flutter
    Python
    Spring Framework
    MySQL
    React
  • Ngôn ngữ
    English
    Chuyên nghiệp
    French
    Trung cấp
    German
    Sơ cấp
  • Trình độ học vấn cao nhất
    Bachelor

Ưu tiên tìm kiếm việc làm

  • Hình thức làm việc mong muốn
    Full-time
    Quan tâm đến làm việc từ xa
  • Vị trí làm việc mong muốn
  • Địa điểm làm việc mong muốn
    Cluj-Napoca, Romania
  • Freelance
    Không phải freelancer

Kinh nghiệm làm việc

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Lead Trainer

09/2018 - 07/2021
2 yrs 11 mos
- Taught programming and game design concepts to children ages 7 and up; - Recorded full video lessons for students who could not attend class during the pandemic; - Supervised the teaching process of other trainers and offered constructive feedback; - Held training sessions and workshops for other trainers; - Conducted interviews and helped with the hiring process of new trainers;
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Software Developer Intern

07/2019 - 08/2019
2 mos
Developed a linter system for internal use in API writing. The service consisted of a linter service, a RestAPI and a Chrome extension that displayed linter errors and warnings seamlessly on a SwaggerHub page. The project was build in Java using the Spring framework and JavaScript, over the course of 4 weeks.

Học vấn

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Bachelor of Engineering (BEng)
Computer Science
2017 - 2021
Các hoạt động xã hội
Bachelor's project Developed a system capable of utilizing large sets of multi-date satellite imagery,  with images that show wide disparities in luminosity or vegetation, in order to faithfully generate a tridimensional replica of the scene. Built in python over the course of a few months.