Oladele Magbadelo

• >Engineered multi-task Convolutional Neural Networks (CNNs) with Python and PyTorch/TensorFlow, leveraging specialized datasets (ACNE04, SCIN) to train classification models that detect and grade skin conditions.
• >Developed the end-to-end customer reporting interface using Next.js and Supabase, building dynamic visualizations to translate complex biological JSON data into actionable microbiome insights.

• >Digitized and inputted detailed data on up to 50 key church assets into the Upkeep CMMS to support accurate maintenance tracking and recordkeeping.
• >Digitalized and organized church maintenance records, including plumbing, electrical, and audiovisual system maps, using Microsoft Office Suite for streamlined access and documentation.

• >Collaborated on developing full stack applications using technologies such as Node, React, Express, Supabase, and GitHub, applying real-world practices such as API Integration, version control, and feature deployment.

• >Worked in WEAP's Communications Team to ensure a clear, consistent, and engaging brand voice across all digital platforms while spearheading design and social outreach initiatives for effective promotion.

• >Architected a highly available web application on DigitalOcean, containerizing an Nginx reverse proxy, Redis cache, and Python backend with Docker to ensure clean separation of concerns.
• >Optimized system throughput to support 500 concurrent users by tuning Gunicorn thread workers and implementing PgBouncer connection pooling for PostgreSQL, sustaining 520+ requests per second with a 0% error rate.

• >Conducted data analysis using Python to simulate customer traffic and generate heat maps, successfully identifying densely populated areas and store 'dead zones'.

• >Worked in a team of 4 to develop a full stack data driven social platform web app by integrating the Spotify Web API with a Supabase backend to normalize and store real-time user listening history.
• >Developed comparative analytics by writing complex SQL queries to clean, aggregate, and normalize raw real-time user data from the Spotify API. Uncovered community-level music trends and insights, allowing users to visualize and compare their tastes.

Recipient of the Carmeta Thelma Hodges Scholarship Award ($6000 CAD) and Western Admission Scholarship ($2500 CAD).

High Honours, Male Athlete of the Year (Basketball MVP).