Oluwatimilehin Emmanuel Banjo

Full-Stack Software Developer | AI/ML Engineer | Mobile & Cloud Architect

I'm a full-stack software developer and AI/ML engineer based in the United Kingdom, with a passion for building production-grade systems that scale. I hold a Master of Science in Computer Science from Teesside University and a Bachelor of Science in Electrical & Electronics Engineering from the University of Lagos, Nigeria.

With 5+ years of professional experience, I've architected distributed platforms serving 2,000+ monthly active users and 50+ enterprise clients, built AI systems that save thousands of dollars annually, and engineered payment integrations handling $30,000+ in transactions per month with zero security incidents.

I thrive at the intersection of software engineering and artificial intelligence -- whether it's designing cloud-native microservices, building cross-platform mobile apps, crafting modern websites, or developing deep learning models for cancer research.

• Geynius Systems -- A next-generation business management platform (Web + Mobile + AI)
• MetaboNiche -- A multimodal graph-transformer framework for cancer metabolic analysis
• AI-Powered Fake Media Detector -- Deep learning system achieving 94.62% accuracy on AI-generated media detection

February 2022 -- Present

Architected and deployed a full-scale distributed salon & business management platform (Web + Mobile) now live on the Google Play Store and web, serving 50+ enterprise clients and 2,000+ monthly active users.

Key Achievements:

• Designed a high-performance real-time scheduling engine that improved appointment processing efficiency by 80% and reduced latency across distributed services
• Built secure payment integrations handling $30,000+ in transactions per month with zero security incidents, including native SDK integration via Kotlin, Java, and Swift
• Developed a production-grade AI customer support system using OpenAI APIs and Retrieval-Augmented Generation (RAG), delivering $5,000+ in annual cost savings
• Engineered infrastructure with Docker, Nginx (reverse proxy, load balancing, SSL termination), enabling horizontal scaling, high availability, and fault tolerance
• Built and automated CI/CD pipelines using GitHub Actions, Azure DevOps, GCP, and Jenkins with integrated automated testing
• Designed and optimised PostgreSQL and MongoDB database systems with advanced indexing strategies and query optimisation
• Implemented monitoring and observability using AWS CloudWatch and Azure Monitoring for production reliability
• Built an automated data ingestion pipeline that increased feature adoption by 70%
• Integrated Twilio APIs for real-time SMS/notification communications
• Built cross-platform native modules (Kotlin, Java, Swift) for payment SDKs, home screen widgets, and platform-specific features

Tech: Flutter, Node.js, TypeScript, React.js, MongoDB, PostgreSQL, OpenAI APIs, AWS (EC2, Lambda, S3), MySQL, Nginx, Docker, Swift, Java, Kotlin

November 2020 -- January 2022

Led end-to-end development of cross-platform fintech applications, from high-fidelity prototyping to production deployment, contributing to improved App Store ratings and overall product usability.

Key Achievements:

• Designed and deployed scalable backend systems using Node.js and TypeScript across AWS and Azure, improving data retrieval performance by up to 80%
• Developed Flutter mobile applications that improved user engagement by 40% across Android and iOS
• Integrated payment gateways and fintech APIs (direct debit, Paystack) processing $10,000+ in transactions with fraud detection and zero critical security incidents
• Engineered a direct debit and transaction processing system with retry mechanisms and validation pipelines, reducing transaction failure rates by 40%
• Built an automated insurance claims processing system with workflow orchestration and real-time validation, reducing processing time by 80%
• Implemented secure authentication using OAuth 2.0 with PCI DSS compliance for fintech and payment processing

Tech: Flutter, Node.js, TypeScript, Kotlin, MySQL, Firebase, REST APIs

A multimodal deep learning framework integrating spatial transcriptomics, histology images, and spatial coordinates to identify metabolic patterns in tumour microenvironments.

• Built a graph-transformer architecture to model spatial relationships between tissue regions, enabling discovery of spatially coherent metabolic niches
• Achieved high predictive performance: R^2 ~ 0.91, correlation ~ 0.97 for metabolic activity inference
• Deployed as an interactive web application (Hugging Face + Gradio) for real-time inference with heatmaps and SHAP analysis

Tech: PyTorch, FastAPI, Transformers, Sentence-Transformers, Gradio, Hugging Face Hub

A deep learning system for detecting AI-generated media, achieving 94.62% accuracy and 95.24% precision on large-scale datasets.

• Architected a scalable training pipeline processing 100GB+ of data (110k+ samples) using EfficientNet-B0
• Built a real-time video analysis system with intelligent frame sampling and optimised file handling
• Deployed via Hugging Face Spaces and Gradio for high-throughput inference

Tech: PyTorch, FastAPI, EfficientNet-B0, OpenCV, Gradio 5.0, Hugging Face Spaces

• Goldman Sachs Engineering Virtual Program
• Artificial Intelligence BootCamp
• Back End Development & APIs Certification (freeCodeCamp)
• JavaScript Algorithms & Data Structures Certification (freeCodeCamp)

Full-Stack Development     ████████████████████  Expert
Mobile Development         ████████████████████  Expert
Backend Architecture       ████████████████████  Expert
Cloud & DevOps             ███████████████████   Advanced
AI/ML & NLP               ███████████████████   Advanced
Database Design            ████████████████████  Expert
CI/CD & Automation         ███████████████████   Advanced
System Design              ███████████████████   Advanced

Let's Connect

I'm always open to discussing new projects, innovative ideas, or opportunities to collaborate.

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"Building systems that scale, one commit at a time."