details.yml

---
# Personal details

name: Petar Matišić
address:
  - Lanište 5D
  - 10000 Zagreb
  - Croatia (HR)
phone: "+385 97 6262 167"
email: pmatisic@foi.hr
urls:
  - linkedin.com/in/petarmatisic
  - github.com/pmatisic
# quote: "Improvement makes strait roads, but the crooked roads without Improvement, are roads of Genius. -- William Blake"

# Sections

intro: "Petar Matišić was born on 24 April 2001 in the city of Livno, Bosnia and Herzegovina (BA). From a young age, he has lived in Gornji Vakuf-Uskoplje (BA) where he completed both his elementary and high school education. After elementary school, he pursued his passion for engineering by enrolling in an electrical engineering high school. Given his dedication and achievements in high school, he furthered his education at the Faculty of Organization and Informatics in Varaždin (HR), a part of the University of Zagreb. He is currently in his final year of graduate studies in informatics. His research interests span various areas of computer science, including software engineering and machine learning. In addition to his academic pursuits, Petar is an active member of both local and international communities, engaging in volunteer work and active youth programs."

education:
  - year: 2022 -- present
    degree: Master of Science in Informatics
    subject: Information and Software Engineering
    institute: University of Zagreb, Faculty of Organization and Informatics
    city: Varaždin (HR)
  - year: 2019 -- 2022
    degree: Bachelor of Science in Informatics
    subject: Information Systems
    institute: University of Zagreb, Faculty of Organization and Informatics
    city: Varaždin (HR)
  - year: 2015 -- 2019
    degree: High School Diploma
    subject: Electrical Engineering
    institute: High School Uskoplje
    grade: CGPA -- 5.00/5.00
    city: Gornji Vakuf - Uskoplje (BA)

thesis:
  - name: Bachelor's Thesis
    title: Computer Vision and Object Recognition Using the OpenCV Library
    supervisor: Bogdan Okreša Đurić, PhD
    url: urn.nsk.hr/urn:nbn:hr:211:697633
    description: This thesis deals with the theoretical foundations of classical problems of computer vision, image processing and machine vision for determining certain objects, features or activities such as hand detection and its actions.

awards:
  - year: 2019
    name: Student of the generation
    issuer: Ministry of science, education, youth, culture and sports, Central Bosnia Canton, Federation of Bosnia and Herzegovina
    description: The highest value of the high school award, according to the overall grade point average and according to the upbringing and educational contribution during the all four high school classes.

skills:
  - technical:
    languages: C++, Java, Python, SQL
    frameworks: .NET, JEE, Spring
    tools: VS Code, IntelliJ, Eclipse, PyCharm, Sublime, git
    systems: Windows, Linux (Manjaro, Ubuntu, shell scripting)
    office: MS Office, LaTeX, Adobe Photoshop, Jira
    general: approachable, naturally friendly, innovative problem solver, analytical thinker, detail-oriented with a systems perspective, passionate about technology-driven solutions
    licences: Driving licence (B category)

languages:
  - language: Croatian
    proficiency: Native
  - language: English
    proficiency: Intermediate -- B1
  - language: German
    proficiency: Basic -- A2

interests: "Music and football lover. Graduated from elementary music school in piano with an CGPA 4.8 out of 5.0 and played semi-professional football for 13 years as a goalkeeper.\\ Animal lover. Especially Shiba Inu and Scottish Fold."

note: "A list of all my projects can be viewed on my GitHub profile, which is linked on the first page of this document."

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# Settings

mainfont: Hoefler Text
fontsize: 10pt
lang: en-GB
geometry: a4paper, left=35mm, right=35mm, top=51mm, bottom=17mm
---