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Honorine Ndom Ndzah
 
Software Engineer

Honorine Ndom Ndzah is a Software Engineer who builds scalable, cloud-native systems that solve real-world problems and drive innovation. With a strong foundation in computer science and hands-on experience across distributed systems, data engineering, Artificial Intelligence, and performance optimization, I thrive in environments where curiosity, collaboration, and customer obsession are key.

Career Highlights

  • System Programming & OS Internals: Optimized operating system runtime performance, enhancing efficiency by 15%, leading to improved stability.

  • Technical Problem-Solving & Innovation: Resolved high-priority technical challenges, cutting system crashes by 40%, improving software reliability

  • Software Development & Debugging: Designed and implemented high-performance C++ modules, improving app responsiveness by 20%.

  • Software Engineering Leadership & Best Practices: Led multiple code review initiatives, ensuring adherence to best practices in style, accuracy, and efficiency, while mentoring junior developers in software architecture and scalable system design.

Cloud Computing

Our cloud computing courses cover everything from basic concepts to advanced topics. This course offers a balanced approach, combining theoretical knowledge with hands-on projects. You'll explore essential topics such as cloud architecture, deployment models, and services, while also insights into security and scalability. Through practical exercises, you'll work with real-world cloud platforms, develop applications, and manage resources efficiently. This comprehensive curriculum you acquire both the theoretical foundations and practical skills needed to thrive in the ever-evolving field of cloud computing. You'll learn how to use cloud platforms such as AWS, Microsoft Azure, and Google Cloud, and how to deploy and manage applications in the cloud.

Web and Mobile Development

In our Web and Mobile Development course, you'll explore the critical components of frontend, backend, and database development. The frontend focuses on creating engaging user interfaces technologies like HTML, CSS, JavaScript, React, and React Native. For the backend, you'll learn various programming languages such as Python, Java, and Node.js, which are essential for handling server-side logic and application functionality. Additionally, you'll dive into database management, where you'll understand how to efficiently store and retrieve data using SQL and NoSQL technologies. This comprehensive approach equips you with the skills needed for a successful career in full-stack development.

Artificial Intelligence/Machine Learning

Our Artificial Intelligence and Machine Learning offers a balanced approach, combining theoretical knowledge with hands-on projects. You'll delve into various branches of AI, including natural language processing, computer vision, and robotics, while also exploring foundational concepts such as machine learning algorithms and neural networks. Through practical exercises, you'll build and train models, analyze datasets, and apply AI techniques to solve real-world problems. This comprehensive curriculum ensures you gain both the theoretical insights and practical experience necessary to excel in the dynamic field of AI.

Embedded Systems

​Our embedded systems course focuses on the fundamentals of designing and programming embedded devices, including Internet of Things (IoT) applications. This program provides an in-depth understanding of embedded systems, covering essential concepts, hardware, and software integration. You'll explore microcontrollers, real-time operating systems, and interfacing with hardware components. Gain hands-on experience and learn how to develop efficient and reliable embedded applications that meet standards.

Technical Skills

Programming: Python, C#, Java, C++, JavaScript, SQL, Git, GitHub

Frameworks: Spring, Maven, Flask, Django, TensorFlow, PyTorch, Angular, React.js, TypeScript

Testing: Automated System Tests, Defect Resolution

Database: SQL Server, Oracle, MongoDB Cloud Computing: AWS (S3, Lambda, EC2), Google Cloud Platform

Tools: Overleaf, Docker, Jupyter, Power BI

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