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Filip Vrlak

Filip Vrlak

Generative AI professional with knowledge of data.

Netherlands flagEindhoven, Netherlands
$17.00/hrEntry LevelLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage

Top Task Types

Classification
Data Collection
Object Detection
Segmentation

Freelancer Overview

I am a detail-oriented individual actively practicing data labeling using Labelbox and public datasets such as Kaggle. Through personal projects, I have designed ontologies, annotated images, and performed classification tasks to simulate real-world AI training data preparation. My skills include setting up annotation workflows, following strict labeling guidelines, and maintaining consistency across datasets. Additionally, I have experience in data analysis, which strengthens my understanding of data integrity and accuracy. I am passionate about contributing to AI development by providing high-quality, well-annotated datasets that help train and refine machine learning models. I have strong focus, analytical thinking, and the ability to work independently and meet deadlines. My experience in technical roles and my proactive approach to learning make me confident in my ability to deliver valuable annotations and adapt quickly to new guidelines and projects.

Entry LevelDutchFrenchSlovakEnglish

Labeling Experience

Labelbox

Butterfly image classification

LabelboxImagePoint Key PointEntity Ner Classification
Image data labeling using Kaggle datasets to simulate real-world machine learning scenarios. • Designed a labeling ontology for butterfly classification and wing detection. • Annotated images with bounding boxes and classifications to simulate real AI training tasks. • Practiced dataset upload, object labeling, classification tagging, and quality review. • Developed practical skills in annotation accuracy and consistency

Image data labeling using Kaggle datasets to simulate real-world machine learning scenarios. • Designed a labeling ontology for butterfly classification and wing detection. • Annotated images with bounding boxes and classifications to simulate real AI training tasks. • Practiced dataset upload, object labeling, classification tagging, and quality review. • Developed practical skills in annotation accuracy and consistency

2024

Education

C

Comenius University Bratislava

Bachelor, Philosophy

Bachelor
2012 - 2014

Work History

C

CEVA Logistics

Warehouse Operator

Eindhoven
2024 - 2025
T

Thuisbezorgd

Delivery Driver

Eindhoven
2024 - 2024