About
Enthusiastic AI/ML Engineer with a robust foundation in machine learning, deep learning, and data science, adept at translating complex problems into innovative AI solutions. Possessing a strong analytical mindset and collaborative spirit, I excel in developing impactful data-driven systems across computer vision, natural language processing, and RAG architectures. Seeking opportunities to apply advanced AI techniques to solve real-world challenges and drive significant outcomes.
Work
Remote, Nigeria, Nigeria
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Summary
Led the development of a multi-modal Retrieval Augmented Generation (RAG) chatbot, integrating diverse data types for enhanced understanding and response generation.
Highlights
Engineered a multi-modal RAG system, seamlessly integrating text, images, and documents to significantly expand knowledge retrieval capabilities.
Leveraged DistilBERT for generating robust embeddings, enhancing the system's ability to process and understand diverse data types.
Implemented ElasticSearch for efficient information retrieval, enabling the chatbot to deliver accurate and contextually relevant responses across NLP and visual queries.
Remote, Nigeria, Nigeria
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Summary
Developed and deployed a real estate price prediction model for Lagos apartments, providing accurate valuations through a user-friendly web application.
Highlights
Designed and implemented a machine learning model for accurate Lagos apartment price prediction, optimizing performance through comprehensive data preprocessing, feature engineering, and model tuning.
Built and deployed a user-friendly Streamlit web application, enabling users to input property details and receive instant price predictions, enhancing accessibility.
Leveraged ElasticNet for the core predictive model and applied clustering techniques to effectively categorize property titles and locations, improving model robustness.
Remote, Nigeria, Nigeria
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Summary
Built a deep learning model utilizing Convolutional Neural Networks (CNNs) to analyze plant health from image input and provide care recommendations.
Highlights
Developed a machine learning model to accurately analyze plant health based on image input, facilitating early detection of diseases.
Incorporated deep learning techniques using Convolutional Neural Networks (CNNs) to effectively detect and classify plant diseases.
Generated actionable care recommendations, improving plant health management and promoting healthier plant growth.
Remote, Nigeria, Nigeria
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Summary
Implemented an image classification system to identify and categorize sports celebrities with high accuracy using a fine-tuned convolutional neural network.
Highlights
Engineered an image classification system to accurately identify and categorize sports celebrities, demonstrating strong computer vision capabilities.
Fine-tuned a pre-trained ResNet model, achieving high accuracy on a custom dataset for robust celebrity classification.
Applied convolutional neural networks (CNNs) to build an efficient and scalable image recognition solution.
Volunteer
Innovation Conference
|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
Played a key role in the event planning and logistical coordination for the 2024 Ile-Ife Teenagers' Innovation Conference.
Contributed to digital media production, enhancing the conference's outreach and participant engagement.
Actively assisted with coordinating workshops and engaging participants, fostering an innovation-driven environment.
No-Code Developers (a Bubble.io summit)
|Volunteer
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Summary
Contributed to organizing a summit promoting low-code/no-code solutions for software development.
Highlights
Contributed to the successful organization of a developer summit focused on advancing low-code/no-code software development solutions.
Assisted in promoting Bubble.io, a key platform for no-code development, to a diverse audience of developers.
Languages
English
Skills
Programming Languages
Python, SQL.
Data Science
Data Wrangling, Feature Engineering, Statistical Analysis, Data Visualization, Data Preprocessing, Model Tuning.
Machine & Deep Learning
Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Neural Networks, Convolutional Neural Networks (CNN), Transformers, Natural Language Processing (NLP), BERT, GPT, RAG Systems, Computer Vision.
Frameworks/Libraries
TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Keras, DistilBERT, ElasticNet.
Development Tools
Jupyter, Git, GitHub, Docker, Streamlit, ElasticSearch, OpenCV.
Soft Skills
Problem-solving, Communication, Adaptability, Team Collaboration, Time Management, Analytical Thinking, Innovation, Fast Learner.
Interests
AI/ML Domains
Large Language Models, Generative AI, Computer Vision, AI Ethics, AI for Good Initiatives.
References
References
Available upon request.