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M

Mercy Ulukwu

AI Model Developer & Image Annotator (Automated Dermatological Detection Using CNN)

Nigeria flagAbuja, Nigeria
$30.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Medical AI/Skin Disease Detection
AI Response Quality Evaluation

Top Data Types

ImageImage
TextText

Top Task Types

ClassificationClassification

Freelancer Overview

AI Model Developer & Image Annotator (Automated Dermatological Detection Using CNN). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and ChatGPT. Education includes Bachelor of Science, Landmark University (2021). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Evaluation, and Rating.

IntermediateEnglish

Labeling Experience

AI Response Evaluator (Self-Initiated Practice)

Text
Performed structured evaluation and comparison of AI-generated text responses for accuracy, clarity, and relevance. Followed specific guidelines to rate outputs and delivered comprehensive feedback to improve AI performance. Practiced error identification and provided actionable suggestions for optimized text responses. • Evaluated textual outputs from AI systems • Applied predefined criteria for rating responses • Identified errors and provided improvement suggestions • Practiced consistent application of evaluation standards

Performed structured evaluation and comparison of AI-generated text responses for accuracy, clarity, and relevance. Followed specific guidelines to rate outputs and delivered comprehensive feedback to improve AI performance. Practiced error identification and provided actionable suggestions for optimized text responses. • Evaluated textual outputs from AI systems • Applied predefined criteria for rating responses • Identified errors and provided improvement suggestions • Practiced consistent application of evaluation standards

2023 - 2023

AI Model Developer & Image Annotator (Automated Dermatological Detection Using CNN)

OtherImageClassification
Developed and evaluated a convolutional neural network (CNN) model for skin disease classification using labeled image datasets. Preprocessed and annotated image data to enhance model training accuracy and conducted thorough analysis to improve prediction quality. Collaborated in validating the model's output and reporting accuracy metrics to refine training processes. • Labeled skin disease images for AI training • Preprocessed and curated image datasets for model development • Evaluated and validated AI model predictions • Applied structured guidelines to maintain data quality

Developed and evaluated a convolutional neural network (CNN) model for skin disease classification using labeled image datasets. Preprocessed and annotated image data to enhance model training accuracy and conducted thorough analysis to improve prediction quality. Collaborated in validating the model's output and reporting accuracy metrics to refine training processes. • Labeled skin disease images for AI training • Preprocessed and curated image datasets for model development • Evaluated and validated AI model predictions • Applied structured guidelines to maintain data quality

2023 - 2023

Education

L

Landmark University

Bachelor of Science, Computer Science

Bachelor of Science
2021

Work History

U

UI/UX Journey

Content Creator

Abuja
2023 - 2024
F

Freelance

UI/UX Designer

Abuja
2022 - 2023