Ngane Emmanuel

I am a Full Stack Software Engineer with over 5 years of experience building scalable frontend and backend systems, cloud-native applications, and AI-driven solutions. I specialize in Java and Spring Boot, ReactJS, distributed microservices, and modern DevOps practices, with a strong focus on performance, reliability, and clean architecture.

Professionally, I have delivered production-grade systems that create measurable impact. At Zetmatt, I engineered full-stack web and mobile features that increased user retention by 60%, tripled daily transactions through secure payment integrations, and supported over 2,000 active daily users. I also designed CI/CD pipelines using Jenkins, ArgoCD, and GitHub Actions, reducing release time from 4 hours to under 30 minutes while improving deployment reliability by 70%. My work with AWS and Terraform automated infrastructure provisioning, reduced manual setup by 80%, and ensured high availability.

I also have strong experience in AI and machine learning, particularly computer vision. I developed a skin lesion detection and classification system using CNNs (ResNet18, PyTorch), achieving approximately 85% accuracy without additional training data. The system includes a mobile app, CLI, and web documentation, bridging research and real-world usability while improving classification robustness by 15% through non-skin image detection.

More recently, during my time at CAMTEL, I proposed and designed Camtel Pulse, a unified user support platform projected to reduce complaint-handling inefficiencies by 90%, supported by comprehensive system design and technical documentation.

I value ownership, clear communication, and continuous learning. I am seeking opportunities where I can contribute to impactful systems, mentor others, and help teams deliver high-quality, scalable software solutions.