Lazar Milikic

Co-Founder and Frontend Developer at Anemone
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Contact Information
us****@****om
(386) 825-5501
Location
CH
Languages
  • Serbian Native or bilingual proficiency
  • English Full professional proficiency
  • French Full professional proficiency

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Bio

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Experience

    • France
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Co-Founder and Frontend Developer
      • Oct 2020 - Present

      Anemone is a professional network dedicated to the cultural and creative industries. Anemone is a professional network dedicated to the cultural and creative industries.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • Jul 2022 - Oct 2022

      I designed the emergency HostOS update system for updating the Microsoft Azure Cloud hosts used for the Microsoft SQL MI cloud offering that increased the response time by up to 33% in case of emergency situations. In addition, I contributed to improving the onboarding documentation and guidelines for the recently joined engineers to the SQL Microsoft team in order to make the onboarding process more efficient and smooth. I designed the emergency HostOS update system for updating the Microsoft Azure Cloud hosts used for the Microsoft SQL MI cloud offering that increased the response time by up to 33% in case of emergency situations. In addition, I contributed to improving the onboarding documentation and guidelines for the recently joined engineers to the SQL Microsoft team in order to make the onboarding process more efficient and smooth.

    • France
    • Research Services
    • 1 - 100 Employee
    • President of Computer Science Committee
      • Sep 2020 - Jun 2022

      As a president launched Computer Science Competition in November 2020 with over 50 participants, endorsing fast-coding skills. In addition, I operated series of workshops accessible to Ecole Polytechnique students in regard to finding internship opportunities resulting in a 33% increase of students landing a summer internship. As a president launched Computer Science Competition in November 2020 with over 50 participants, endorsing fast-coding skills. In addition, I operated series of workshops accessible to Ecole Polytechnique students in regard to finding internship opportunities resulting in a 33% increase of students landing a summer internship.

    • France
    • Research Services
    • 700 & Above Employee
    • Research Intern
      • Jan 2022 - Apr 2022

      Action recognition is the task of finding the dominant action of humans in videos. Our goal is to understand the state-of-the-art methods for Spatial-Temporal action recognition models and to propose new approaches based on Transformers to address the problem. We recognize that Transformers architecture has a huge unused potential for improving the prediction confidence of human actions in videos. Our research would like to take advantage of this potential while discovering new ways of using Transformers in Deep Learning.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Research Intern at Microsoft’s Azure Data Labs
      • Jun 2021 - Sep 2021

      I developed the first static analysis algorithm called Code Impact Analysis for notebooks, improving user experience, preventing unexpected behaviors in 24% of the cells while enabling higher reproducibility of notebooks. Results obtained using automated python scripts I created on over 2200 notebooks found in Kaggle competitions. Alongside my mentor, I published and registered a patent in regard to the discoveries made in the area of static analysis on notebooks during the internship. I developed the first static analysis algorithm called Code Impact Analysis for notebooks, improving user experience, preventing unexpected behaviors in 24% of the cells while enabling higher reproducibility of notebooks. Results obtained using automated python scripts I created on over 2200 notebooks found in Kaggle competitions. Alongside my mentor, I published and registered a patent in regard to the discoveries made in the area of static analysis on notebooks during the internship.

    • Serbia
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Junior Developer, Machine Learning team
      • Jun 2020 - Sep 2020

      I analyzed large-scale datasets of bank clients in view of data preprocessing and attained strong competencies in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib and in Data Visualization, Machine, and Deep learning theory while working on the internship project. I analyzed large-scale datasets of bank clients in view of data preprocessing and attained strong competencies in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib and in Data Visualization, Machine, and Deep learning theory while working on the internship project.

Education

  • EPFL (École polytechnique fédérale de Lausanne)
    Master of Science - MS, Computer Science
    2022 - 2025
  • École Polytechnique
    Bachelor of Science - BS, Mathematics and Computer Science
    2019 - 2022
  • Mathematical Grammar School
    High School Diploma, Mathematics and Computer Science
    2015 - 2019

Community

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