Adeola Ogunleye

Adeola Ogunleye has a diverse work experience spanning over several roles and industries.

In 2021, Adeola worked as an AI Engineer at Atheneum, where they focused on creating AI/ML services on AWS using Serverless technology. They deployed Lambdas, DynamoDBs, S3 buckets, and EventBridge to develop and deploy various projects, including NLP tasks such as text classification and text similarities using techniques like sentence BERT. They also utilized AWS Lambda, S3 buckets, and EventBridges to create ETL jobs for data processing, ML model extractions, and dashboard/report building using Metabase.

From 2019 to 2021, Adeola served as a Machine Learning Engineer at Yellow Dog Networks. They extensively utilized machine learning models, including linear and logistic regression, decision trees, and convolutional neural networks, to tackle everyday problems. They applied deep learning models for tasks such as classification and object recognition, specifically in document sorting. Adeola also employed OpenCV for designing computer vision systems for image augmentation and manipulation.

During their time at the University of Johannesburg from 2017 to 2018, Adeola worked as an AI developer and machine learning expert. They focused on designing AI systems for medical and hospitality industries. One notable project involved developing a real-time bottle recognition system for an automated bar using the Google Objection Detection API and OpenCV libraries.

In 2009, Adeola Ogunleye worked at OPIC as an Engineer. Their responsibilities included performing maintenance on power plants, handling electrical wiring for a skyscraper, and procuring engineering equipment for the organization.

Adeola Ogunleye has a comprehensive educational background in the field of Electrical and Electronics Engineering. Starting in 2005, Ogunleye pursued a Bachelor of Science degree from Olabisi Onabanjo University, which was completed in 2011. After gaining this foundational education, Ogunleye furthered their studies by obtaining a Master of Engineering degree in Electrical Engineering from Stellenbosch University between 2014 and 2016. During this program, their research and coursework focused on power systems, IoT, powerline communication, and the smart grid.

Following their master's degree, Ogunleye pursued a Doctor of Philosophy (PhD) degree at the University of Johannesburg from 2018 to 2020. The focus of their research and dissertation was in the field of Electrical and Electronics Engineering, specifically in the subfield of Electrical and Electronics Engineering.

In addition to their academic achievements, Ogunleye holds a certification in CCNA from Cisco. The specific time of obtaining this certification is not provided in the given information.