Miracle Nwadiaro

Architected scalable AI solutions for real-time disease detection and classification using computer vision and deep learning. Currently building deepfake detection using transformer-based architectures, and implementing MLOps pipelines for model versioning, monitoring, and automated deployment.

Gained hands-on experience developing and deploying machine learning models under senior ML engineers. Worked on data preprocessing, feature engineering, model training, and supervised learning data collection and annotation.

Developed algorithmic solutions for automated assessment and scoring systems in educational technology. Implemented security protocols and authentication frameworks for multi-user platforms and contributed to research on scalable recruitment and assessment methodologies.

Participated in collaborative software development focused on payment processing systems. Gained foundational experience in software architecture and deployment methodologies.

Organized academic field studies, including industrial site visits, and coordinated HSE workshops and technical seminars for engineering students. Facilitated knowledge transfer between industry professionals and the academic community.

Grade: Major GPA: 4.20/5.00; Second class upper

Activities and societies: NAOC Scholarship (2016); Seplat JV Scholarship (2018).

Earned a B.Eng. in Electrical and Electronics Engineering at Federal University of Technology, Owerri (2015–2021). Graduated with a 4.20/5.00 major GPA (Second class upper).