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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

  • ​ A summary of my key contributions and impact across backend systems, AI, and cloud-based applications.​

  •  Improved system performance and reduced latency by up to 25% in high-traffic applications.

  •  Built scalable backend systems using Python, Flask, Java, Spring Boot, and Node.js

  •  Designed event-driven architectures using Kafka, improving processing efficiency by 25%.

  • Developed an agentic AI system to automate contract discovery using Python and NLP.

  • Implemented cloud-based solutions and CI/CD pipelines using Docker and cloud platforms.

  • Optimized data pipelines and databases (PostgreSQL, MySQL, Cassandra) to improve reliability by 30%.

Artificial Intelligence and Agentic Systems

I design and develop intelligent systems that leverage Artificial Intelligence to automate complex workflows and deliver actionable insights.

Currently, I am working on an agentic AI system that autonomously searches, analyzes, and extracts relevant contract opportunities from large-scale, unstructured data sources. This system combines Natural Language Processing (NLP), automation pipelines, and cloud-based architectures to provide accurate and real-time results.

I use Python and modern AI frameworks to build scalable solutions that can reason, process information, and support decision-making in real-world applications.

Distributed Systems and Data Engineering

I design and build distributed systems that handle large-scale data processing and high-throughput workloads. My experience includes developing event-driven architectures using Kafka, implementing microservices, and designing systems that ensure scalability, fault tolerance, and reliability.

I work with data storage solutions such as PostgreSQL, Cassandra, MySQL, Microsoft SQL Server (MSSQL), and MongoDB to manage structured and unstructured data efficiently. My focus is on optimizing data pipelines, improving processing performance, and ensuring consistent, reliable data flow across services in production environments.

Backend Engineering

I design and build scalable, high-performance backend systems that power data-driven applications. My experience includes developing microservices, RESTful APIs, and distributed architectures using technologies like Java, Spring Boot, and Node.js.

I focus on writing clean, maintainable code while optimizing system performance, reducing latency, and ensuring reliability in production environments. My work involves handling large-scale data processing, integrating multiple services, and delivering robust backend solutions that support real-world applications.

Cloud and DevOps

I design and deploy scalable, cloud-based applications using modern DevOps practices and cloud platforms such as AWS, Azure, and Google Cloud. I focus on building reliable, production-ready systems through containerization, continuous integration, and automated deployment pipelines.

My experience includes working with Docker, CI/CD workflows, and cloud infrastructure to ensure high availability, performance, and operational efficiency. I aim to streamline development and deployment processes while maintaining system reliability and scalability.

Technical Skills

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

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, Git, GitHub, Docker, Kubernetes, Power BI

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