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Hussain Akande Abdulgafar

Hussain Akande Abdulgafar

AI Research Specialist/Founder - EdTech AI Model Training & Evaluation

USA flag
maryland, Usa
$50.00/hrExpertKili TechnologyAws SagemakerOneforma

Key Skills

Software

Kili TechnologyKili Technology
AWS SageMakerAWS SageMaker
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
MindriftMindrift

Top Subject Matter

Educational Technology
Automated Content Generation
Agriculture Domain Expertise

Top Data Types

TextText
ImageImage

Top Task Types

Fine Tuning
Diagnosis

Freelancer Overview

AI Research Specialist/Founder - EdTech AI Model Training & Evaluation. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, N/A (2019). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Fine-tuning and Diagnosis.

ExpertEnglish

Labeling Experience

AI Research Specialist/Founder - EdTech AI Model Training & Evaluation

TextFine Tuning
Led the development and optimization of machine learning models for educational technology, focusing on AI output evaluation and refinement. Oversaw the annotation and quality assurance process for auto-generated educational content and assessments. Provided feedback to improve AI outputs and model accuracy in real-time analytics systems. • Directed model optimization cycles with continuous labeling and evaluation. • Supervised and performed data annotation for personalized learning pathways. • Evaluated AI-generated quiz questions and grading outputs for correctness. • Worked with a team to implement and track improvements in AI content generation.

Led the development and optimization of machine learning models for educational technology, focusing on AI output evaluation and refinement. Oversaw the annotation and quality assurance process for auto-generated educational content and assessments. Provided feedback to improve AI outputs and model accuracy in real-time analytics systems. • Directed model optimization cycles with continuous labeling and evaluation. • Supervised and performed data annotation for personalized learning pathways. • Evaluated AI-generated quiz questions and grading outputs for correctness. • Worked with a team to implement and track improvements in AI content generation.

2021 - Present

Senior AI Researcher - Agricultural Data Labeling & AI Model Training

TextFine Tuning
Trained machine learning models to analyze environmental data for plant dormancy and productivity assessment. Labeled agricultural research datasets and iteratively refined model outputs through evaluation. Collaborated with subject matter experts to validate AI assessment accuracy. • Labeled and validated agricultural data for dormancy prediction models. • Provided detailed feedback for model refinement and enhancement. • Conducted multi-stage assessments of predictions against expert evaluations. • Engaged in data preprocessing and annotation for advanced agricultural AI systems.

Trained machine learning models to analyze environmental data for plant dormancy and productivity assessment. Labeled agricultural research datasets and iteratively refined model outputs through evaluation. Collaborated with subject matter experts to validate AI assessment accuracy. • Labeled and validated agricultural data for dormancy prediction models. • Provided detailed feedback for model refinement and enhancement. • Conducted multi-stage assessments of predictions against expert evaluations. • Engaged in data preprocessing and annotation for advanced agricultural AI systems.

2020 - 2021

Junior Research Scientist - Medical Data Annotation & AI Evaluation

Diagnosis
Participated in the training and evaluation of AI models for medical diagnosis and pattern recognition within military healthcare settings. Labeled and reviewed datasets of diagnostic images and clinical data to support AI-driven recommendations. Ensured data annotation accuracy to maintain strict quality standards for medical AI applications. • Labeled medical datasets to train diagnostic AI systems. • Provided feedback on AI-generated recommendations for accuracy and reliability. • Worked within quality assurance frameworks tailored for medical standards. • Coordinated with clinical validation teams for data review.

Participated in the training and evaluation of AI models for medical diagnosis and pattern recognition within military healthcare settings. Labeled and reviewed datasets of diagnostic images and clinical data to support AI-driven recommendations. Ensured data annotation accuracy to maintain strict quality standards for medical AI applications. • Labeled medical datasets to train diagnostic AI systems. • Provided feedback on AI-generated recommendations for accuracy and reliability. • Worked within quality assurance frameworks tailored for medical standards. • Coordinated with clinical validation teams for data review.

2019 - 2020

MSc Thesis Research - Biological Pattern Recognition & DNA Defect Detection

TextFine Tuning
Conducted thesis research on training AI models for the detection of genetic defects in bioorganisms. Labeled biological datasets to develop and validate AI systems in DNA defect identification. Performed data preprocessing, model training, and evaluation cycles focused on biological AI accuracy. • Annotated genomics data for AI model training. • Evaluated and optimized model outputs through labeling and refinement. • Developed and iterated on data labeling protocols for genomics research. • Ensured rigorous validation standards for AI-driven DNA analysis.

Conducted thesis research on training AI models for the detection of genetic defects in bioorganisms. Labeled biological datasets to develop and validate AI systems in DNA defect identification. Performed data preprocessing, model training, and evaluation cycles focused on biological AI accuracy. • Annotated genomics data for AI model training. • Evaluated and optimized model outputs through labeling and refinement. • Developed and iterated on data labeling protocols for genomics research. • Ensured rigorous validation standards for AI-driven DNA analysis.

2018 - 2019

Education

N

N/A

Master of Science, Bioorganisms and Artificial Intelligence Systems

Master of Science
2019 - 2019

Work History

T

Tracheids HLX Technologies Limited

Founder & Chief Executive Officer

Ibadan
2021 - Present
I

Institute for Agricultural Research & Training

Senior AI Researcher

Ibadan
2020 - 2021