Professional Experience & Projects

A comprehensive log of my internships, open-source contributions, and research initiatives.

Featured Academic Research

B.Sc. Final Year Project: Multimodal Breast Cancer Detection

@ Landmark University (Dept. of Computer Science) 2023 – 2024

Research Scope: Addressed the limitations of single-modality screening by designing a fusion system combining Ultrasound Imaging with Clinical & Radiometric data.

Methodology & Tech Stack:
  • MedCLIP (Vision): Extracted 512-dimensional semantic embeddings from ultrasound images using a vision-language model.
  • TabNet (Tabular): Processed clinical metadata using an attention-based network.
  • Early Fusion: Concatenated image + tabular embeddings into a unified 576-dim vector.
  • Performance: 82.7% Accuracy • 87.1% ROC-AUC — significantly outperforming unimodal baselines.
Repository

Professional Timeline

Machine Learning Intern

@ Kontemporary Konsulting Ltd. 2023

My Role: Researching and implementing deep learning architectures for medical diagnostics and large-scale data collection systems.

Key Deliverables:
  • Polling Unit Scraper: Built a Selenium system extracting data across 36 Nigerian states into PostgreSQL — 99.9% accuracy, 90% time reduction.
  • Brain Tumor Classification: Benchmarked ViT vs DINOv2 architectures with Grad-CAM visualization.
  • Kidney Disease Prediction: Deployed a Random Forest classifier with full preprocessing pipelines.

IT & Automation Intern

@ TETFund 2022

My Role: Identifying workflow bottlenecks and modernizing legacy data processes across institutional reporting pipelines.

Key Deliverables:
  • Workflow Automation: Python scripts to parse, clean, and classify institutional reports — 90% processing time reduction.
  • Data Migration: Migrated legacy Excel records to structured PostgreSQL databases with full validation.
  • IT Support: Technical support and hardware maintenance across departments.

Featured Code Repositories

Global Tech Salary Prediction

Python • Random Forest • XGBoost • Pandas

Regression model predicting tech salaries based on global job metadata and experience levels.

Multimodal Cancer Detection

PyTorch • MedCLIP • TabNet

Final year project implementing the Early Fusion strategy for breast cancer detection.

Human Activity Recognition

PyTorch • Transformers • HAR-70

Real-time activity recognition using a Transformer model on wearable sensor data with 12 activity classes.

Heart Disease Prediction

Scikit-Learn • Random Forest • XGBoost

Clinical decision support system optimized for high recall to minimize false negatives.

Nigeria Polling Unit Scraper

Python • Selenium • PostgreSQL

Large-scale electoral data collection across all 36 Nigerian states with 99.9% accuracy.

TETFund Workflow Automation

Python • Pandas • openpyxl

Automated parsing, classification and routing of institutional reports — 90% time savings.

Bunmi Adelugba & Co. Website

HTML • CSS • JavaScript

Professional responsive corporate website for a Chartered Accounting firm.

C# Calculator

C# • .NET Framework

Desktop calculator with arithmetic, memory functions, history and full error handling.