About Me
A detailed look at my education, career trajectory, and academic achievements.
Who I Am
I am a Computer Engineering graduate interested in artificial intelligence, computer vision, data science, and software engineering. I enjoy building practical systems that connect machine learning research with real-world use cases, from visual intelligence applications to data products and AI-powered tools. I have worked on projects involving driver drowsiness detection, image processing, machine learning classification, data analytics, and AI-powered application development. Across these projects, I focus not only on building models, but also on designing usable systems around them, whether through dashboards, web apps, automation workflows, or deployed prototypes.
When I am not writing code, I spend time learning about computer vision, AI agents, and applied machine learning, while turning new ideas into projects, articles, and deployable prototypes. Outside tech, I enjoy following and playing chess, and my favourite player is Alireza Firouzja.
Work Experience
Data Scientist
Busha
- Responded to cross-departmental data requests by delivering analytical outputs within defined turnaround times, supporting 10+ departments and helping reduce data request response delays by approximately 30-40%, thereby improving operational efficiency and decision-making speed.
- Rebuilt and standardized internal dashboards across departments, creating a centralized real-time analytics platform used by 50+ internal users, which reduced repetitive data requests by around 40-50% and improved organization-wide access to key metrics.
AI Engineer Extern
Extern | Pfizer
- Built an end-to-end document intelligence pipeline for pharmaceutical supply-chain documents, using Python-based PDF parsing, OCR preprocessing, and retrieval-augmented generation to extract useful information from complex vendor document packets.
- Developed a metadata-aware RAG system that classified document sections, chunked content with page-level metadata, generated embeddings, routed queries to the most relevant document type, and returned source-backed answers with relevance scores and citations.
- Evaluated multiple document processing approaches, including OCR tools, chunking strategies, retrieval performance, and open-source LLMs such as Mistral and Phi-2, then built a Gradio demo interface to showcase PDF upload, natural-language Q&A, and traceable document retrieval.
Data Engineer Intern
TradeDepot
- Deployed a robust data pipeline to extract, transform, and load over 750,000 call records from TradeDepot's Dialer tool into the AWS Redshift data warehouse, incorporating logging, modular coding, and data integrity measures, with automated execution via cron scheduling.
- Worked on the integration of DBT (Data Build Tool) into AWS Redshift to facilitate easier transformation of SQL queries in ETL/ELT workflows, following software engineering practices like modularity and CI/CD which would allow others to safely contribute to production-grade data pipelines.
- Created an automated Profit & Loss report on a Google Sheet by resolving major data discrepancies and enforcing data quality to create a dataset on AWS, then moving the dataset into Google BigQuery where the data can be integrated into a Google Sheet to create the report.
Python Developer Intern
HackCity Tech
- Collaborated with a team responsible for organizing and facilitating a tech training program. Utilized advanced data analysis techniques to derive key insights, facilitating the selection of over 100 participants for the training program.
- Utilized machine learning techniques and the Tweepy API to develop a Python-based model trained on 50,000+ Twitter accounts, achieving 80% accuracy in predicting bot accounts.
- Developed and integrated advanced AI features into applications, including text sentiment analysis with OpenAI, text-to-image generation for enhanced visual content, and face detection/verification with computer vision.
Education
Bachelor of Science in Computer Engineering
Obafemi Awolowo University
- Graduated with First Class Honors.
- Coursework: Data Structures and Algorithms, Database Systems, Machine Learning, Numerical Computation.
Awards & Certifications
Best Graduating Student
Obafemi Awolowo University
Awarded to the overall best graduating student in the Department of Computer Engineering.
Deep Learning for Computer Vision
Mathworks | Coursera
Completed a series of courses covering deep learning techniques for computer vision, including convolutional neural networks, object detection, and image segmentation.