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Arvin Fairuz

Arvin Fairuz

Software Engineer

Indonesia flagYogyakarta, Indonesia
$5.00/hrEntry LevelRoboflowInternal Proprietary Tooling

Key Skills

Software

RoboflowRoboflow
Internal/Proprietary Tooling

Top Subject Matter

Transportation & Law Enforcement – Vehicle Detection & OCR
Technology & Software – AI Training Data & Machine Learning

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

ClassificationClassification
PolygonPolygon
Bounding BoxBounding Box
SegmentationSegmentation
Point/Key PointPoint/Key Point
PolylinePolyline
Object DetectionObject Detection

Freelancer Overview

Software Engineer with 10+ years of professional experience across complex workflows, research, and quality-focused execution. Experienced in AI training data and data labeling projects, including image classification and OCR correction for Indonesian vehicle license plates as part of the ETLE (Electronic Traffic Law Enforcement) system for the Indonesian National Police (Polri). Skilled in reviewing and annotating large volumes of traffic camera images with high accuracy, handling edge cases such as motion blur, occlusion, and varied lighting conditions.

Entry LevelEnglishIndonesian

Labeling Experience

CORRECTION PLATE NUMBER VEHICLES

ImageClassification
Worked on an image data labeling project focused on Indonesian vehicle license plates for the Electronic Traffic Law Enforcement (ETLE) system of the Indonesian National Police (Polri). Tasks included classifying and correcting OCR results of license plate numbers captured from traffic cameras, ensuring accurate reading of plate characters across various lighting conditions, angles, and vehicle types. Maintained high labeling accuracy to support automated traffic violation detection. Project involved reviewing thousands of vehicle images and applying quality control measures to minimize character recognition errors.

Worked on an image data labeling project focused on Indonesian vehicle license plates for the Electronic Traffic Law Enforcement (ETLE) system of the Indonesian National Police (Polri). Tasks included classifying and correcting OCR results of license plate numbers captured from traffic cameras, ensuring accurate reading of plate characters across various lighting conditions, angles, and vehicle types. Maintained high labeling accuracy to support automated traffic violation detection. Project involved reviewing thousands of vehicle images and applying quality control measures to minimize character recognition errors.

2026 - 2026

Education

B

Brawijaya University

Bachelor's Degree, Informatics Engineering

Bachelor's Degree
2015 - 2019

Work History

F

Freelancer

Software Engineer

Yogyakarta
2018 - Present
L

Lifepack

Back-End Engineer

Yogyakarta
2022 - 2024