Ayomide Richard Orimogunje

AI/ML Engineer & Full-Stack Developer

Awarded First Class Honours in Computer Science (University of East London) | Recently completed MSc in Artificial Intelligence and Machine Learning in Science with DISTINCTION (Queen Mary University of London, 2024-2025) | Specializing in Neural Networks, Deep Learning, Cloud Deployment & Scientific AI Applications

Richard.Orimogunje@gmail.com

07308 996496

London, United Kingdom

Contact Me View Projects

Distinction MSc AI/ML

1st Class BSc Computer Science

Personal Profile

I am an accomplished Computer Science graduate with First Class Honours from the University of East London, complemented by a recently completed Master of Science in Artificial Intelligence and Machine Learning in Science, awarded with DISTINCTION from Queen Mary University of London (2024-2025).

My academic journey has equipped me with a robust theoretical foundation in AI/ML, particularly in neural networks, deep learning architectures, and their scientific applications.

I possess comprehensive software engineering skills combined with hands-on experience in developing, training, and deploying machine learning models for real-world and scientific challenges. My technical expertise spans from fundamental algorithm development to cloud-based deployment and optimization of AI systems.

I am actively seeking opportunities as an AI/Machine Learning Engineer or Developer, where I can leverage my technical understanding, problem-solving abilities, and passion for innovation to contribute to impactful, cutting-edge projects in the AI/ML domain.

Career Objective

AI/ML Engineer or Developer Roles

Specializing in neural networks & cloud AI

Academic Excellence

DISTINCTION in MSc AI/ML

1st Class BSc Computer Science

Technical Focus

Neural Networks & Cloud Deployment

Scientific AI Applications

Skills & Abilities

Programming & Development

Java JavaScript C++ C# Python TypeScript PHP React MERN Stack Redux Node.js Express SASS Bootstrap HTML/CSS SQL MySQL MongoDB Firebase

Software Engineering Practices

REST APIs Cypress Jest Docker Google Cloud AWS Project Planning Requirements Gathering Testing Deployment

Machine Learning & Data Science

PyTorch TensorFlow NumPy Matplotlib Scikit-learn CNNs Deep Learning Neural Network Optimization Data Preprocessing Stratified Splits Class Imbalance Handling ROC Analysis F1 Score Precision/Recall Confusion Matrix

Projects & Experience

Machine Learning for Neutrino Interaction Classification

2025 | MSc Project

Applied Convolutional Neural Networks to classify neutrino interactions in simulated DUNE Near Detector Liquid Argon TPC data.

Built reproducible data pipeline using PyTorch with .h5 dataset handling, stratified splits, and preprocessing
Achieved ~87% test accuracy; evaluated using ROC curves, precision, recall, and confusion matrices
Implemented regularisation (L1 penalty, dropout, pruning) and patience-based early stopping
Delivered reproducible pipeline, baseline CNN model, and comprehensive evaluation suite

PyTorch CNN Deep Learning Data Pipeline

Cloud-Powered AI Chatbot – RicchyBot for Online Fashion Retail

2025

Designed and deployed an AI-powered chatbot leveraging Google Gemini API, Firebase Firestore/Storage, and Streamlit.

Integrated product database and multimedia (images, promotions) into conversational AI
Deployed on Google Cloud VM with Docker: http://34.147.228.170:8501
Ensured scalability and 24/7 public accessibility
Automated FAQs, order tracking, and product recommendations

Google Cloud Firebase Docker Streamlit Gemini API

3D System for Fashion Industry – MERN Stack with AR

Final Dissertation Project

Complete MERN stack web application with Augmented Reality for virtual try-ons and fit recommendations.

Enabled customers to save body measurements and view 3D garment perspectives
Generated fitting charts and provided Fit/No Fit recommendations
Managed full project lifecycle: requirements, development, testing, Firebase deployment
Frontend: https://fitzclientapp.web.app

MERN Stack Augmented Reality Firebase Project Management

Additional Projects

Covid19 Record Management Application (MERN Stack)

CRUD application with CSV data processing, filtering, and analytics for COVID-19 statistics.

Bicycle Rental App (HTML/CSS/JavaScript)

Led team development of front-end application, enhancing teamwork and leadership skills.

Employee Payslip Management System (JavaFX)

CRUD application with HMRC-compliant tax calculations and payslip generation.

Education & Certifications

Queen Mary University of London

2024 - 2025

MSc Artificial Intelligence and Machine Learning in Science

Expected: Distinction

Specialized in neural networks, deep learning, and scientific applications of AI/ML.

MSC Certificate

View Full Certificate

University of East London

2020 - 2023

BSc Computer Science

First Class Honours

Awarded for Outstanding Engagement in the BSc program.

BSC Certificate

View Full Certificate

Achievements & Awards

DISTINCTION - MSc AI & Machine Learning in Science

Queen Mary University of London (2024-2025)

Awarded top classification for outstanding academic performance and research in AI/ML

First Class Honours - BSc Computer Science

University of East London (2020-2023)

Graduated with highest honours classification

Outstanding Engagement Award

University of East London - BSc Computer Science

Recognized for exceptional dedication, engagement, and academic contribution

Academic Excellence in AI/ML

Specialized in Neural Networks & Deep Learning

Advanced coursework in PyTorch, TensorFlow, CNN architectures, and scientific ML applications

Contact & Links

Email

Contact me directly at:

richard.orimogunje@gmail.com

Connect professionally:

linkedin.com/in/richard-orimogunje

GitHub

View my projects and code:

github.com/yomzywayne

I'm actively seeking AI/ML Engineer or Developer positions where I can contribute to innovative projects.

Based in London, United Kingdom | Open to remote and hybrid positions.

References

Professional and academic references available upon request.