Akinwale M.

Key Skills

Software

Other

Top Subject Matter

AI dataset annotation for text classification and prompt evaluation

Text dataset cleaning for AI training

AI training preparation via code and tooling practices

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

AI Data Annotation Practice Project (Independent Project). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes National Diploma in Computer Science, Yaba College of Technology (YABATECH) (2025) and Python Programming Certificate, Stanford Code in Place (Virtual) (2024). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Open Source Learning & Python Development (Self-Directed Learning)

Other

Engaged in self-directed learning to improve skills relevant to AI training data workflows and annotation tooling usage. Practiced version control and collaboration with Git/GitHub to manage code used for dataset and labeling experiments. Focused on strengthening practical engineering habits that support repeatable AI training preparation.• Studied open-source Python repositories related to real-world coding practices.• Used Git and GitHub for version control and collaborative workflows.• Built small scripts and coding exercises to improve logic and problem-solving.• Applied learning toward AI training and data annotation readiness.

2024 - Present

Python Data Processing Script (Personal Project)

Other

Built Python-based data cleaning and structuring workflows to prepare raw text datasets for annotation and machine learning training. Implemented normalization and deduplication steps while analyzing dataset patterns to support labeling readiness. Exported cleaned datasets in CSV format to facilitate downstream labeling and training activities.• Removed duplicates and normalized text in raw datasets.• Analyzed word frequency and dataset patterns using Python structures.• Cleaned and structured data for consistent annotation inputs.• Exported cleaned CSV files for ML training workflows.

2024

AI Data Annotation Practice Project (Independent Project)

OtherTextClassification

Performed text dataset labeling for sentiment and topic classification tasks, ensuring categories were consistent and usable for training. Evaluated AI-generated responses for accuracy, clarity, and instruction-following to support dataset quality. Produced structured CSV datasets and practiced prompt analysis and response grading to improve AI model behavior.• Labeled and categorized text data for sentiment/topic classification.• Graded AI responses for accuracy, clarity, and instruction compliance.• Structured labeled outputs into CSV format for ML use.• Conducted prompt analysis to identify improvements for model training.

2024

Education

Work History