Highly enthusiastic AI/ML Engineer with a robust foundation in machine learning, deep learning, and data science. Proven ability to develop innovative AI solutions for complex challenges, with hands-on experience across computer vision, natural language processing, and Retrieval Augmented Generation (RAG) systems. Eager to leverage advanced AI techniques to deliver impactful, data-driven solutions and contribute to cutting-edge projects.
Volunteer
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Summary
Volunteered in organizing the 2024 Ile-Ife Teenagers' Innovation Conference, contributing to event planning, logistics, and digital media production.
Highlights
Managed event planning, logistics, and digital media production for the 2024 Ile-Ife Teenagers' Innovation Conference.
Coordinated engaging workshops and actively facilitated participant involvement in innovation-driven activities.
Volunteer
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Summary
Volunteered in organizing a summit for developers using Bubble.io, focused on promoting low-code/no-code solutions in software development.
Highlights
Contributed to the successful organization of a developer summit, promoting low-code/no-code solutions to a broad audience.
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Bachelor of Science
Microbiology
Issued By
Stanford
Issued By
Stanford
Issued By
Stanford
Python, SQL.
Data Wrangling, Feature Engineering, Statistical Analysis, Data Visualization.
Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Neural Networks, Convolutional Neural Networks (CNN), Transformers, Natural Language Processing (NLP), BERT, GPT.
TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Keras.
Jupyter, Git, GitHub, Docker, Streamlit, ElasticSearch, OpenCV.
Problem-solving, Communication, Adaptability, Team Collaboration, Time Management.
Large Language Models, Generative AI, Computer Vision, AI Ethics, AI for Good Initiatives.
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Summary
Developed a Retrieval Augmented Generation (RAG) system integrating text, images, and documents, leveraging DistilBERT for embeddings and ElasticSearch for retrieval to create a chatbot with both NLP and visual understanding capabilities.
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Summary
Developed a real estate price prediction model for Lagos apartments using machine learning techniques, optimizing prediction accuracy through data preprocessing, feature engineering, and model tuning.
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Summary
Built a machine learning model that analyzes plant health based on image input, incorporating deep learning techniques using CNNs to detect diseases and provide care recommendations.
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Summary
Implemented an image classification system to identify and categorize images using a convolutional neural network, fine-tuning a pre-trained ResNet model for high accuracy on a custom dataset.