AI Evaluator
Computer Code ProgrammingRLHF
Outlier AI
Outlier AI
2022 - 2024
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Key Skills
Software
Telus
Toloka
SuperAnnotate
Scale AI
Remotasks
OneForma
Mindrift
MercorMicro1
Label Studio
Labelbox
LabelImg
Dataturk
Data Annotation Tech
Clickworker
AppenTop Subject Matter
Human Tracking/Computer Vision
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Top Data Types
Image
Computer Code Programming
Text
DocumentTop Task Types
Tracking
Bounding Box
Polygon
Segmentation
Classification
Entity Ner Classification
Point Key Point
Polyline
Cuboid
Object Detection
Text Generation
Question Answering
Text Summarization
RLHF
Red Teaming
Fine Tuning
Transcription
Evaluation Rating
Computer Programming Coding
Data Collection
Function Calling
Prompt Response Writing SFT
Freelancer Overview
Machine Learning Engineer. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Dokuz Eylül University (2025). AI-training focus includes data types such as Image and labeling workflows including Tracking.
ExpertEnglishTurkish
Labeling Experience
Machine Learning Engineer
ImageTracking
During a research project as an in-training machine learning engineer, I prepared, cleaned, and preprocessed datasets for real-time human tracking models. The work involved curating and annotating imagery data to facilitate supervised learning and accurate object tracking. Emphasis was placed on quality control and iterative improvement of annotated data to enhance model performance. • Responsible for developing a procedure for dataset cleaning and annotation. • Ensured labelling accuracy by performing validation checks on tracked objects. • Collaborated with team members to investigate edge cases and annotation errors. • Utilized project-specific protocols to handle large and varied datasets.
During a research project as an in-training machine learning engineer, I prepared, cleaned, and preprocessed datasets for real-time human tracking models. The work involved curating and annotating imagery data to facilitate supervised learning and accurate object tracking. Emphasis was placed on quality control and iterative improvement of annotated data to enhance model performance. • Responsible for developing a procedure for dataset cleaning and annotation. • Ensured labelling accuracy by performing validation checks on tracked objects. • Collaborated with team members to investigate edge cases and annotation errors. • Utilized project-specific protocols to handle large and varied datasets.
2021 - 2022
Education
D
Dokuz Eylül University
Bachelor of Science, Computer Engineering
Bachelor of Science
2016 - 2025
Work History
T
Tech
Sofware Instructor
Karşıyaka
2023 - Present
M
Mine Area
IT Engineer
Izmir
2024 - 2025