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Darko BozhinoskiDB

Darko Bozhinoski

AI integrator,Full stack Developer,Project Manager

€600/day
1 project
Brussels-Capital Region, BE
8-15 years

Average response time: 1 hour

About Darko

Hello, my name is Darko Bozhinoski. I am experienced AI Engineer with over 15 years of experience in modeling and developing machine learning systems across domains. Proven expertise in AI, energy systems, multi-agent distributed agents and LLMs. Skilled in Python and cloud platforms (AWS, Azure, GCP), with extensive experience in DevOps and deploying AI in distributed environments.
  • Dutch

    Basic

  • English

    Native or bilingual

Can work on-site
Brussels-Capital Region (up to 50km)

Experience

  • Techvenia
    Freelance / Data Scientist, Machine Learning Expert
    June 2019 - Today (7 years)
    Prilep, PP, Macedonia
    We developed SciVenia - a platform that connects scientists with scientific organisations. It facilitates all aspects of the scientific event organisation process from conferences, workshops, symposiums to PhD. schools. More details about our platform can be found here:
    Data science Data analysis Data Engineer
  • JM international (JMI)
    Chief Technology Officer
    February 2018 - December 2023 (5 years and 10 months)
    Sand, Straelen, NW, Germany
    Project name: Mubazar
    • Managing the web development of Mubazar - https://www.mubazar.com/, that is a platform that connects musicians with music organizations through competitions, events and training.
  • European Youth Award
    EYA Ambassador
    February 2014 - Today (12 years and 4 months)
    • Working with young motivated individuals on sustainable IT projects that address the Millennium Development Goals (MDGs).

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Education

  • Doctor of Philosophy - PhD, Computer Science
    GSSI - Gran Sasso Science Institute
    2017
    Doctor of Philosophy - PhD, Computer Science
  • Bachelor of Science in Information Technology
    FON University
    2013
    Bachelor of Science (BSc), Information and Communication Technology

Skill set

Categories