Taiwo A.

Key Skills

Software

OpenCV AI Kit (OAK)

Other

Top Subject Matter

Agriculture computer vision (crop disease and pest detection)

Agricultural predictive modeling (crop yield forecasting)

ML research and prototyping for precision irrigation and fertilization

Top Data Types

Image

Top Task Types

Object Detection

Classification

Fine-tuning

Freelancer Overview

Artificial Intelligence Engineer, Robotic and Artificial Intelligence Nigeria (RAIN). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK) and Other. Education includes Computer Hardware Engineer, City Gate Institution (2017) and Artificial Intelligence and Machine Learning, Robotic and Artificial Intelligence Nigeria (RAIN) (2022). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Object Detection, Classification, and Fine-tuning.

Labeling Experience

Artificial Intelligence Engineer, Robotic and Artificial Intelligence Nigeria (RAIN)

OpenCV AI Kit (OAK)ImageObject Detection

As an Artificial Intelligence Engineer at Robotic and Artificial Intelligence Nigeria (RAIN), Akinola developed computer vision algorithms to detect diseases and pests in crops. The work likely required image dataset preparation and annotations to train and evaluate detection models for agricultural imagery. Outputs were used to reduce reliance on manual crop inspections by automating detection workflows.• Detected crop diseases and pests from imagery for model training and inference• Reduced manual inspections by implementing automated vision detection• Collaborated with stakeholders to translate field needs into model requirements• Supported team delivery by providing technical guidance and mentorship

2022 - Present

Data Scientist, KinTech Global Services

OtherClassification

As a Data Scientist at KinTech Global Services, Akinola developed predictive models from crop datasets to forecast yields and optimize resource allocation. This role involved preparing and using structured data for supervised learning workflows, which commonly requires constructing labeled features/targets for training and evaluation. Visualizations supported communication of findings to farmers and stakeholders.• Built predictive models for crop yield forecasting• Identified trends and patterns through statistical analysis of crop datasets• Created data visualizations to communicate insights to stakeholders• Collaborated with engineers and agronomists on AI-based farming solutions

2021 - 2022

Research Assistant, Vegi Hub

OtherFine-tuning

As a Research Assistant at Vegi Hub, Akinola researched machine learning approaches to optimize irrigation and fertilization for crops. This research work included building and testing AI prototypes that would require training data and labeled targets derived from experimental or sensor/field measurements. Results were published in research papers and contributed to an AI-based irrigation prototype that was commercialized. • Researched ML methods for irrigation and fertilization optimization• Developed and evaluated a prototype AI-based irrigation system• Published papers on AI in farming, including an award-winning study• Supported dataset preparation and experimental validation for model performance

2020 - 2021

Education

Work History