News

The Branham Model API crossed 12,960 requests across 59 countries in 30 days with zero marketing. Live at branhamsermons.ai. (Apr 2026)
Published the traia-iatp Inter-Agent Transfer Protocol — 111 versioned releases; enables MCP servers to operate as A2A utility agents with on-chain d402 payment settlement, powering multiple autonomous trading agents at Dcentralab. (2026)
Started Stanford University's graduate-level AI Professional Program — Machine Learning with Graphs (CS224W), Deep Generative Models, and Natural Language Processing with Deep Learning. (Sept 2025 – Nov 2026)
Awarded the Petroleum Technology Development Fund (PTDF) National Merit Scholarship, Nigeria. (2025)
Joined Dcentralab Ltd (Israel, remote) as Backend & AI Engineer, working on the Traia multi-agent trading system and the Web3Index AI search product. (Feb 2025)
Independent GNN research programme under the informal guidance of Prof. Pietro Liò (University of Cambridge). Implemented Node2Vec, GCN, GraphSAGE, GAT, TransE, Heterogeneous Graph Transformer, Relational GCN, Correct & Smooth, and generative graph models over MAG, OGB, and FB15k. (Jul – Sept 2024)
Invited as peer reviewer by five SCIE/Scopus-indexed international journals, including KSII Transactions on Internet and Information Systems and Springer's Journal of Imaging Informatics in Medicine. (2024–2025)
Best Researcher Award in Energy Optimization Using Machine Learning — Science Father. (2024)
Published Conditional Monitoring and Fault Detection of Wind Turbines Based on Kolmogorov-Smirnov Non-Parametric Test and Machine Learning as co-first author in Energy Reports (Elsevier). (2024)
Published Neural Network-Based Wind Turbine Power Curve Model Using Several Wind Farms' Influencing Parameters and Topography as co-first author in Localized Energy Transition in the 4th Industrial Revolution (Taylor & Francis). (2024)
Built GPT-2 and LLaMA2-variant models from scratch (up to 124M parameters) with flash attention, mixed precision, PyTorch compile, and DDP — 10x speedup and 40% GPU memory reduction vs. baseline. Also replicated core LLM components in pure C and CUDA. (2024)
Short stint as a Fullstack AI Engineer (LLM) at TechWave, Nigeria — built an AI agent for autonomous course curation using LangChain, LlamaIndex, and CrewAI. (Mar – Jul 2024)
Designed and taught a voluntary Data Analytics curriculum (R, SQL, BigQuery, Excel) to 26 enrolled participants at Local Christian Assembly, Lagos; all materials published openly on GitHub. (Sept 2023 – Feb 2024)
FastAPI-ML microservice using Amazon ECR and ECS FastAPI-ML microservice. (Dec 2023)
I deployed a text summarization app (Plus CLT and API) BART for text Summarization, (Dec 2023)
I developed an app for sentiment analysis RoBERTa for sentiment analysis, (Nov 2023)
I deployed an Image Classification App ViT based food classification app, (Oct 2023)
Secured a position as a Data Scientist at Clinton Health Access Initiative, leading the development and management of healthcare databases tailored to the Nigerian national healthcare sector, designing dashboards, and building HTML-based data collection tools. (Jan 2023)
I Completed a paper on Wind turbine fault detection using Machine Learning, and Statistical Computation. find it here. (Nov 2022)
I Completed a review paper on Vision Transformers in Medical Imaging. I investigated Federated Learning, Contrasive learning and Knowledge distilation strategies as well as numerous medical imaging modalities and for numerous tasks. find it here. (Sep 2022)
I submitted my first research proposal at the Molecular Biology Lab Focused on a specfic model type for classifying and segmenting lesions based on the CNN architecture and transfer learning. (Jul 2022)
I secured employment as a Machine Learning Research Engineer at the Molecular Biology Lab in Covenant University my research was focused on automatic detection and classification of lesions from Whole Slide Images and other medical image modalities.
Graduated from Covenant University with a bachelors in Mechanical Engineering And a Grade Point Average within the top 2% of my graduating class. I thought it was 5% initially, after calculating again, I noticed it was 2%.
Completed a report on the design and implementaion of the electrical system for Hebron Motorsports semi-professional racecar, the First of its kind in West Africa. Find it here. (Jun 2022)
Completed My first research paper on the development of a state-of-the-art wind turbine power curve mode. find it here. (Mar 2022)
Hebron Motorsports Club Secured funds and began manufacturing their semi-professional racecar. (Mar 2022)
I Joined the Energy and Environment Research Group to commence researching wind energy system optimization using Machine Learning. I was supervised by Professor Olayinka Ohunakin. (Oct 2021)
Hebron Motorsports Club competed in the Formula Student competition in Silverstone UK. The applied for the design competition as they had not manufactured the car. (2021)
I was appointed Assistant Team Lead and Electrical Lead of Hebron Motorsports Club. (2020)
Ese, I and few others revived the Motorsports Club in Covenant University. (2020)
We Presented out PET city project at Lagos (National level) and Silicon Valley (International level). (2020)
Daniel and I completed a solar reflector project for the PET brick machine. The reflector failed to capture any radiation because it wasn't smooth enough. (2020)
Daniel Ore, Johnson and I contributed to designing and overseeing the manufacture of the PET brick making machine. (2020)
We carried out various community outreaches and food drives in hard-to-reach communities in Ogun State. Additionally, we organized waste collection campaigns and schemes within these communities. (2020)
Enactus club begins her petcity project aimed at converting waste plastics to building bricks. I recently became a member (2019)
Top candidate JAMB. Jamb is short for Joint Admission and Matriculation Board. All high school seniors in Nigeria take a university palcement exam. I scored top 3 (2017).