CV

Graduate Teaching Assistant

University of Georgia

• Collaborated with Prof. Shelby Funk and Dr. Michael Cotterell in delivering course content for Theory of Computing and Human-Computer Interaction. • Evaluated and graded assignments and exams with adherence to university grading standards, providing timely and constructive feedback.

Software Developer(Intern)

Orbital Schools

• Spearheaded the development of dynamic websites utilizing the LAMP stack,enhancing client digital presence with Linux, PHP 5, CSS, and MySQL. • Executed seamless integration of payment processing capabilities by embedding PayStack and other APIs into Orbital Schools' web platform.

PhD

University of Georgia

Computer Science

• Machine Learning, Algorithms, Software engineering, Data mining,Trustworthy Machine Learning, Databases, Advanced Robotics, Human-Computer Interaction and Advanced Representation Learning

42 Silicon Valley

Software engineering

• Machine Learning, Algorithms

BSc

University of Ilorin

Computer Science

Adaptive Quantile Guidance in Diffusion Models: Multi-Dataset Learning for Pandemic Time Series

• Developed AQDiff, a diffusion-based framework for epidemiological forecasting, leveraging multi-dataset pre-training (CDC influenza, COVID-19, RSV) and adaptive quantile guidance to dynamically adjust prediction intervals. Achieved 73.3% lower MAE than state-of-the-art models (CSDI, PatchTST) across pandemic scenarios. • Introduced real-time error feedback via exponentially weighted residual statistics, enhancing volatility adaptation with <10% computational overhead. Demonstrated robustness in sparse data methods and statistically significant improvements during outbreak surges.

Factor-Social

Factor is a university social platform specifically built to help university students connect with one another and seamlessly integrate into campus life. We address a common challenge in higher education: students desire more meaningful connections with peers who share similar interests with them. They also wish to find relevant events on campus which they might even attend together. Factor solves this by creating a central, university-branded hub where students can discover clubs, form groups, and easily interact with classmates and campus resources

• Social Plaform
• Flutter

Prompt Fusion in Stable Diffusion

• Collaborated on the Prompt Fusion project to optimize image generation by consolidating positive and negative prompts into a single efficient pass. • Utilized LPIPS and Siamese networks for image evaluation, and BERT for prompt similarity, significantly improving optimization time and image-prompt alignment.

• Generative Models
• Prompt Fusion, Stable Diffsusion

HumorAI: Enhancing LLM for Implicit Humor and Sentence Analysis

• Engineered an advanced LLM model for sentiment analysis, integrating humorrecognition to refine sentence similarity scores and enhancing the model's language understanding capabilities. • Utilized contrastive loss to train the SBERT and BERT models, distinguishing between similar and dissimilar sentence pairs for sentiment analysis. • Applied this enhanced model to a chatbot and Twitter sentence similarity tasks, achieving a noticeable 15% improvement in performance accuracy compared to other existing models, demonstrating its effectiveness in practical applications.

• LLMs
• Sentence Analysis

StockCluster: Enhancing Investment Portfolios

Devised a clustering algorithm for stock market analysis, and achieved a 6.89% ROI increase by optimizing portfolio diversification.

• Clustering method
• Stock Diversification

Risk-Aware Task Allocation in multi-robot system

• Developed a risk-aware multi-robot task allocation model, factoring in task dependencies and robot characteristics to optimize performance while minimizing risk, increasing operational efficiency by 40% and improving task completion rates • Expanded the approach to tackle the ST-MR-TA challenge, improving real-world task allocation efficiency.

• MRS
• Task Allocation