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Akinwole Adeyeye

Akinwole Adeyeye

Graduate Research Intern—Imagery, Clinical and Genomic Data Annotation

NIGERIA flag
Lagos, Nigeria
$10.00/hrIntermediateOtherDataturkAppen

Key Skills

Software

Other
DataturkDataturk
AppenAppen
CrowdSourceCrowdSource

Top Subject Matter

Healthcare
Biomedical Domain Expertise
Prompt Engineering

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Classification
Bounding Box
Object Detection
Text Generation
Question Answering
Text Summarization
Transcription
Data Collection
Prompt Response Writing SFT
Cuboid
Segmentation

Freelancer Overview

Graduate Research Intern—Clinical and Genomic Data Annotation. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Federal University Oye-Ekiti (2023). AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateSpanishYorubaEnglish

Labeling Experience

Graduate Research Intern—Clinical and Genomic Data Annotation

OtherTextClassification
Performed structured sequence alignment and annotation of resistance gene sequences from clinical and genomic datasets in a biomedical research setting. Developed and applied consistent data labeling protocols to ensure high-quality, accurate input for downstream molecular biology analyses. Automated the data extraction and cleaning process using Python, increasing annotation throughput and reducing manual errors. • Labeled genetic and clinical data (1,200+ data points) related to antimicrobial resistance. • Utilized NCBI BLAST and Excel dashboards to monitor resistance gene prevalence. • Coordinated with 10+ scientists for annotation validation and output consistency. • Supported AMR research publications with accurately classified sequence data.

Performed structured sequence alignment and annotation of resistance gene sequences from clinical and genomic datasets in a biomedical research setting. Developed and applied consistent data labeling protocols to ensure high-quality, accurate input for downstream molecular biology analyses. Automated the data extraction and cleaning process using Python, increasing annotation throughput and reducing manual errors. • Labeled genetic and clinical data (1,200+ data points) related to antimicrobial resistance. • Utilized NCBI BLAST and Excel dashboards to monitor resistance gene prevalence. • Coordinated with 10+ scientists for annotation validation and output consistency. • Supported AMR research publications with accurately classified sequence data.

2024 - 2024

Education

F

Federal University Oye-Ekiti

Bachelor of Science, Microbiology

Bachelor of Science
2018 - 2023

Work History

N

Nigerian Institute of Medical Research

Graduate Research Assistant

Lagos
2024 - Present
F

Federal University Oye-Ekiti

Research Assistant

Oye-Ekiti
2024 - 2024