Boluwatife D.

Key Skills

Software

Mercor

AWS SageMaker

Data Annotation Tech

Top Subject Matter

Cybersecurity – Threat Detection, Security Logs & Risk Analysis

Artificial Intelligence & Machine Learning

E-commerce – Product Categorization & Customer Support

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Segmentation

Computer Programming/Coding

Function Calling

Transcription

Text Generation

Classification

Data Collection

Freelancer Overview

I have worked with data that was related to Artificial Intelligence in several projects with the following domains: Cybersecurity, Cloud, and Machine Learning where I have collected, preprocessed, classified, validated, and assessed the quality of the data. As a course in cybersecurity, I have gained firsthand experience in structuring and unstructuring data, recognizing patterns, verifying the correctness of data, and ensuring consistency in vast amounts of data. I can work well within detailed annotation guidelines, carry out quality checks, research and deal with sensitive data, ensuring confidentiality and accuracy. I have also undertaken technical training and simulations, such as cybersecurity projects and AI/ML learning courses, that further honed my analytical skills, attention to detail, and proficiency in working with data-driven systems. My plus points are organizing data, identifying anomalies, documentation, quality assurance and knowing how to learn and use new tools and workflows within a short period of time. I have a strong attention to detail and the ability to be accurate while performing repetitive tasks and am dedicated to providing high quality output that will build and enhance AI models.

Labeling Experience

Comparative study for metaheuristic algorithms for malware detection (Feature Selection)

Computer Code ProgrammingComputer Programming/Coding

Worked on AI and machine learning projects involving data collection, preprocessing, classification, validation, and quality assessment. Handled structured and unstructured datasets from cybersecurity and cloud computing domains. Responsibilities included categorizing data, identifying patterns and anomalies, verifying label accuracy, cleaning datasets, and ensuring consistency according to project guidelines. Conducted quality assurance checks to maintain high data integrity and improve dataset reliability for model training and evaluation. Processed datasets containing network logs, security events, and textual information used for machine learning experiments and cybersecurity simulations. Applied attention to detail to ensure accurate labeling and documentation while following established annotation standards. Contributed to preparing high-quality datasets that supported predictive analysis, anomaly detection, and AI model development.

2026 - Present

Education

Work History