Resume Computer Vision

developing *** implementing computer vision algorithms for robotic
system used in stereotactic neurosurgery

Maintaining *** improving kino.de application using Java *** Kotlin
languages
Improving the application by using material design, MVP architecture,
GitFlow, Dependency injection, *** libraries such as Dagger *************,
RxJava, *** more

Working with Oracle SQL databases, writing scripts in Python *** Java
application for generating reports
Working with Splunk *** Tableau to generate *** visualize reports

Developing a solution for counting tuna fish in fish farming facilities
using computer vision algorithms for object detection *** tracking

Computer Vision Researcher
FMENA Zagreb | 2017-2021

***roid developer
Ströer Media Br***s AG | 2016-2017

Billing Administrator
Iskon Internet d.d. | 2015 - 2016

Computer Vision Software Developer
Axilis | 2015

Student Assistant

Rector's Award
2. Prize for the best Master's Thesis given by Department of Electronic
Systems *** Information Processing

FACULTY OF ELECTRICAL ENGINEERING *** COMPUTING,
UNIVERSITY OF ZAGREB

Bachelor's degree, Telecommunications *** Informatics, 2011-2015

Master's degree, Telecommunications Engineering, 2015-2017

FACULTY OF MECHANICAL ENGINEERING *** NAVAL ARCHITECTURE,
UNIVERSITY OF ZAGREB

Doctor of Philosophy - PhD, 2017

A D R I A N
Ž G A L J I Ć

S O F T W A R E E N G I N E E R

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PERSONAL PROFILE

AREAS OF EXPERTISE

OTHER SKILLS

WORK EXPERIENCE

EDUCATION HISTORY

Nova **************0 Zagreb, Croatia

Show contacts
https://www.linkedin.com/in/adrianzgaljic/

I'm a software engineer specialized
in computer vision *** machine
learning.

strong knowledge of Python ***
C++
Computer Vision, OpenCV,
working with embedded systems
Machine learning, knowledge of
Tensorflow *** PyTorch

developing algorithms for point
cloud processing, working with
PCL
experience in working with
digital cameras, assembling
camera systems ***
underst***ing of camera lenses
***roid development,
knowledge of Java *** Kotlin

LANGUAGES

Native or bilingual proficiency

Professional working
proficiency

Elementary proficiency

Croatian

English

German