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S

Saria Askar

AI Trainer & Computer Vision Specialist | Medical Image Analysis & Data Annotation

Turkey flagŞanlıurfa, Turkey
$20.00/hrIntermediateAppenClickworkerAws Sagemaker

Key Skills

Software

AppenAppen
ClickworkerClickworker
AWS SageMakerAWS SageMaker
Axiom AI

Top Subject Matter

Image Processing
Data Annotation / AI Training
Computer Vision

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Segmentation
Classification
Computer Programming Coding
Data Collection
Text Summarization
Text Generation
Bounding Box

Freelancer Overview

AI Project Contributor specializing in Medical Image Analysis, with hands-on experience in dental X-ray processing and AI-based image enhancement (denoising and inpainting). Demonstrates strong expertise in computer vision and deep learning using OpenCV, PyTorch, and TensorFlow. Focused on delivering high-quality, accurate results across complex workflows and research-oriented projects. Holds a Bachelor’s degree (2022) and Master’s degree (2024) in Computer Engineering from Harran University. Experienced in AI training and data labeling across medical and image-based datasets, including DICOM formats, with a focus on evaluation, annotation, and quality assessment tasks.

IntermediateEnglishArabicTurkish

Labeling Experience

AI Project Contributor – Image Inpainting using AI Models

Image
I implemented AI-based inpainting methods to reconstruct missing or damaged image regions. I evaluated the generated outputs for realism, consistency, and artifact reduction. I applied systematic criteria to judge model outputs and guide further improvement. • Focused on restoring coherence to images through structured evaluation. • Used visual assessment to detect artifacts and inconsistencies. • Evaluated various approaches for inpainting effectiveness. • Provided evaluative feedback for model refinement.

I implemented AI-based inpainting methods to reconstruct missing or damaged image regions. I evaluated the generated outputs for realism, consistency, and artifact reduction. I applied systematic criteria to judge model outputs and guide further improvement. • Focused on restoring coherence to images through structured evaluation. • Used visual assessment to detect artifacts and inconsistencies. • Evaluated various approaches for inpainting effectiveness. • Provided evaluative feedback for model refinement.

2024 - Present

AI Project Contributor – Image Denoising using CNN

Image
I trained and evaluated CNN models for image denoising tasks using paired noisy and clean image datasets. I assessed structural quality and noise reduction effectiveness. I performed evaluation of AI outputs for fidelity and clarity. • Focused on measuring noise removal and detail preservation. • Analyzed output quality using predefined visual criteria. • Provided feedback for iterative model improvements. • Supported optimization of image denoising techniques.

I trained and evaluated CNN models for image denoising tasks using paired noisy and clean image datasets. I assessed structural quality and noise reduction effectiveness. I performed evaluation of AI outputs for fidelity and clarity. • Focused on measuring noise removal and detail preservation. • Analyzed output quality using predefined visual criteria. • Provided feedback for iterative model improvements. • Supported optimization of image denoising techniques.

2024 - Present

AI Project Contributor – Image Colorization using Deep Learning

Image
I worked with deep learning models to colorize grayscale images and assessed output realism. I evaluated visual quality and color consistency in the produced images. I performed perceptual assessment and structured evaluation of model results. • Focused on improving the realism and fidelity of AI-generated colorizations. • Assessed results for natural coloration and visual coherence. • Used subjective and objective metrics for evaluation. • Provided feedback to refine image colorization models.

I worked with deep learning models to colorize grayscale images and assessed output realism. I evaluated visual quality and color consistency in the produced images. I performed perceptual assessment and structured evaluation of model results. • Focused on improving the realism and fidelity of AI-generated colorizations. • Assessed results for natural coloration and visual coherence. • Used subjective and objective metrics for evaluation. • Provided feedback to refine image colorization models.

2024 - Present

AI Project Contributor – Medical Image Analysis (Dental X-ray Processing)

I developed and evaluated models for dental X-ray image analysis to aid in detecting abnormalities. I applied enhancement techniques and performed visual assessment of abnormalities. I conducted structured evaluation of model performance and image quality. • Focused on identifying cysts and abnormal structures in dental X-ray images. • Used visual and statistical analysis to evaluate models. • Enhanced image clarity and supported medical diagnosis with AI. • Applied evaluation criteria for abnormality detection and visual quality.

I developed and evaluated models for dental X-ray image analysis to aid in detecting abnormalities. I applied enhancement techniques and performed visual assessment of abnormalities. I conducted structured evaluation of model performance and image quality. • Focused on identifying cysts and abnormal structures in dental X-ray images. • Used visual and statistical analysis to evaluate models. • Enhanced image clarity and supported medical diagnosis with AI. • Applied evaluation criteria for abnormality detection and visual quality.

2024 - Present

Education

H

Harran University – Faculty of Engineering

Bachelor of Science, Computer Engineering

Bachelor of Science
2017 - 2022
H

Harran University – Faculty of Engineering

Master of Science, Artificial Intelligence and Image Processing

Master of Science
2024

Work History

P

Pigment Soft

Software Developer – Mobile Application Development

Şanlıurfa
2023 - 2023
O

Osman Baba Software Company

Web Developer

Şanlıurfa
2022 - 2022