Akorede A.

Key Skills

Software

Other

Top Subject Matter

Computer vision and explainable AI

precision computing

Top Data Types

Image

Top Task Types

Diagnosis

Freelancer Overview

Research Assistant (virtual) — Computer Vision for Plant Disease Detection: an eXplainable AI approach. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include GitHub and Other. Education includes Bachelor of Science, Federal University Oye-Ekiti (2023). AI-training focus includes data types such as Image and labeling workflows including Evaluation, Rating, and Diagnosis.

Labeling Experience

Research Assistant (virtual) — Explainable AI for Early Detection and Diagnosis of Zoonotic Diseases in Livestock

OtherImageDiagnosis

Supported research on explainable deep learning frameworks for early detection and diagnosis of zoonotic diseases in livestock. Performed data preprocessing, feature engineering, and model evaluation using XAI methods to improve transparency and trust. Collaborated on visualization techniques and interpretability tooling for deep learning models. • Applied XAI frameworks (e.g., SHAP and LIME) to interpret predictions. • Curated and prepared datasets for livestock disease detection tasks. • Evaluated model performance and alignment with transparency requirements. • Developed/assisted visualization and interpretability outputs for researchers.

2025 - 2025

Research Assistant (virtual) — Computer Vision for Plant Disease Detection: an eXplainable AI approach

Image

Conducted computer-vision work for plant disease detection using deep learning to support accurate disease identification. Applied explainability techniques to interpret model behavior via confidence visualizations and attention heatmaps. Prepared and shared a reusable framework intended to enable transparent, collaborative automated plant health monitoring. • Defined inputs/outputs and evaluation targets for disease prediction. • Produced explainability artifacts (confidence visualizations and Grad-CAM heatmaps). • Structured the codebase/framework for collaboration and reproducibility on GitHub. • Visualized model reasoning to improve transparency for agricultural use cases.

2025 - 2025

Education

Work History