AI Engineer specializing in machine learning, cloud infrastructure, and scalable backend systems. I design and deploy production-grade solutions at the intersection of AI and distributed computing.
Master's student and software engineer with a focus on AI/ML and cloud systems
I'm a Master's Computer Science student at Georgia State University, specializing in Machine Learning and Software Engineering. My work centers on building production-grade AI systems and the cloud infrastructure to support them.
With experience at companies like Paystack (handling 2M+ daily transactions) and leadership roles in AI research, I've developed expertise in designing scalable backend systems, optimizing machine learning models, and deploying cloud-native applications using AWS and modern DevOps practices.
Currently seeking software engineering and AI/ML internships for 2026 where I can contribute to building intelligent, high-performance systems that solve real-world problems.
Building impactful solutions at leading companies
Lead lab instruction for 110+ students in Computer Organization Programming. Conduct weekly office hours and code review sessions, achieving 95% student satisfaction. Developed automated grading scripts, reducing grading time by 30%.
Developed Visitor Management System with automated QR codes and SMS notifications, reducing entry processing time by 40%. Built Requisition and Expenses Tracking Dashboard, contributing to 3% operational cost reduction within 6 months.
Engineered multi-tenant SaaS architecture for payment processing platform serving 50,000+ merchants. Developed RESTful APIs handling 2M+ daily transactions with 99.9% uptime. Implemented Redis caching that reduced response time by 45%.
Production systems and AI applications I've built
Full-stack platform managing 1,000+ properties with 15,000+ monthly visitors. Features employee portal with CRUD operations and AWS infrastructure achieving 98% uptime and 2-second page load times.
AI-powered waste management system using CNN for object recognition with 92% accuracy. Integrated GPT API for generating context-specific recycling instructions.
Predictive safety wearable system adapting NASA VOC sensor technology for drink tampering detection. Built real-time dashboard with heart rate monitoring and automated emergency alerts. Finalist at HackATL 2025 with team LunaTek.
Technologies and tools I work with daily
Building a strong foundation in computer science
I'm currently seeking software engineering and AI/ML internships for 2026. Let's discuss how I can contribute to your team.
Have a project in mind or want to discuss AI and technology? I'd love to hear from you — I'll reply within 24 hours.
Fill out the form below and I'll respond as soon as possible