Software Engineer & ML Explorer — Akure, Nigeria
Building systems that scale across continents.
I write backend software and train neural networks. Currently studying Computer Engineering at FUTA and shipping features that reach schools across 10 countries. I care about clean architecture, real performance numbers, and code that other humans can read.
I'm Oyebamiji Mustapha Oyetunde — people call me Musoye. I'm a fourth-year Computer Engineering student at Federal University of Technology, Akure, and I've been writing software seriously since 2022.
My work lives mostly in the backend — distributed systems, microservices, cloud infrastructure, and the plumbing that keeps large platforms running. Lately I've been building a federated learning framework for medical imaging, which has been one of the more interesting problems I've worked on.
Outside code, I lead bootcamps at the Google Developer Student Club on campus, tutored thermodynamics and discrete maths for peers, and try to write the occasional technical article when I have something worth saying.
Languages, frameworks, databases, and tools I reach for regularly.
Languages
Frameworks
Databases & Cloud
ML / AI
DevOps & Tools
Where I've worked and what I built there.
SchoolTry · Switzerland
FullStack Engineer
Nexora · Contract
Backend Engineering Lead
Peeriva
Backend Engineer
A record of things that went well.
Intelligent Planet Hackathon
KFUPM · Saudi Arabia · Top 25 of 2000+ global teams
Built EcoFlow AI — an event-driven digital twin on Google Cloud processing real-time IoT data to predict crowd surges and optimise carbon emissions. Selected from over 2,000 global applications.
Wema Bank Hackathon
Fintech · Security Track
Built TrustLock — a secure gateway for remote companies to monitor and authenticate employees, with digital auth, user priority levels, and IP/location/device tracking.
Squadco Hackathon
EdTech / Fintech · 8th of 108 teams
Developed SSFH — a platform for automating school fee savings for students, including backend services to handle transactions efficiently at scale.
Academic work currently in review.
In Review · 2025
Lightweight and Privacy-Preserving Federated Deep-Learning Framework for Efficient Brain Tumor Detection Across Distributed Medical Centers
A federated learning framework for collaborative MRI analysis without sharing patient data. Achieved 84% accuracy with a custom CNN and 98.5% with EfficientNetB0, optimised via pruning and quantisation so it runs on standard clinical hardware — not just research clusters.
Roles beyond writing code.
Bootcamp & Skills Development Lead
Google Developer Student Club (GDSC), FUTA — 2023/24 & 2024/25
Organised and led coding bootcamps introducing students to backend development, cloud technologies, and real-world project experience. Mentored participants through hands-on technical work.
Tutor — Engineering Thermodynamics (MEE 206)
Muslim Student Society of Nigeria, FUTA
Tutored up to 30 students, helping them improve understanding and exam performance.
Peer Tutor — Discrete Maths & Algorithms / C Programming
CPE 201 & CPE 202, FUTA
Mentored departmental peers in core computer science subjects. High pass rates among mentees.
Things I've built, shipped, or researched.
Backend · FinTech · Voice
Padipay
Voice-controlled payment system supporting English and Nigerian English. Multilingual voice recognition, real-time transaction processing, and secure backend validation.
Python · Django · MongoDB · SpeechRecognition · PostgreSQL
2nd · Wema Bank Hackathon
Fullstack · Security
TrustLock
Secure workforce access gateway — RBAC, JWT auth, and full audit trails tracking IP, device identity, and geolocation. Built for distributed remote teams.
Django · PostgreSQL · Redis · JWT · Vue.js
Top 25 / 2000+ · Saudi Arabia
ML · IoT · Cloud
EcoFlow AI
Event-driven digital twin on Google Cloud processing real-time IoT data to predict crowd surges and optimise carbon emissions. Firestore for real-time, BigQuery for analytics.
Flask · MySQL · Google Cloud · Firestore · BigQuery · Nginx
Publication Pending
ML · Medical AI · Research
Brain Tumor Detection
Custom CNN + fine-tuned ResNet for MRI tumour classification. Extended into a federated learning framework achieving 98.5% accuracy across distributed hospitals without sharing patient data.
PyTorch · TensorFlow · OpenCV · Flask · Federated Learning
ML · AgriTech · Mobile
CropWatch
AI crop disease detection via transfer learning on CNNs. Two-stage training — feature freezing then fine-tuning. Mobile backend for real-time field inference from leaf images.
Flask · MySQL · Nginx · CNN Transfer Learning
ML · NLP · LLM
Fine-tuning GPT-2 for Sentiment
Rebuilt GPT-2 in PyTorch and fine-tuned on a custom dataset for high-accuracy sentiment classification. Tokeniser setup, model optimisation, and reduced inference latency.
Python · PyTorch · Transformers · HuggingFace
Backend · AI · ALX Final Project
HelpBot
AI document assistant that parses PDFs and answers contextual queries via OpenAI. Response time reduced by 65% through prompt tuning and payload optimisation.
Node.js · Express.js · OpenAI API · Vue/Vite
ML · FinTech
Fraud Detection System
ML model flagging fraudulent transactions using monetary data patterns, with a Flask web interface for simulation and real-time prediction workflows.
Python · scikit-learn · Flask · Pandas
ML · Computer Vision
Facial Emotion Recognition
Detects human emotions from facial images — happy, sad, angry, surprised. Web app for uploading photos and getting real-time predictions.
Python · OpenCV · TensorFlow · Streamlit