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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

Professional Background

  • Current status
    Unemployed
  • Profession
    Software Engineer
  • Fields
    Software
  • Work experience
    2-4 years (1-2 years relevant)
  • Management
    I've had experience in managing 10-15 people
  • Skills
    C
    Github
    Java
    JavaScript
    Linux
    Flutter
    Python
    Spring Framework
    MySQL
    React
  • Languages
    English
    Professional
    French
    Intermediate
    German
    Beginner
  • Highest level of education
    Bachelor

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
  • Desired work locations
    Cluj-Napoca, Romania
  • Freelance
    Non-freelancer

Work Experience

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Lead Trainer

Sep 2018 - Jul 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

Jul 2019 - Aug 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.

Education

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Bachelor of Engineering (BEng)
Computer Science
2017 - 2021
Activities and societies
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.