Malcom Mudhungwaza

I am a Software and Robotics Engineer with expertise in backend development, AI, machine learning, robotics, cloud computing and iOS applications. My work spans microservices-based architectures, AI-driven perception models, real-time robotic systems and full-stack mobile development. I solve complex engineering challenges by applying a deep understanding of distributed systems, automation and intelligent computing.

With a first-class distinction in Robotics and Automation Engineering, I have a strong foundation in backend software engineering, using Python, C++, Swift, Java, FastAPI, Django and Node.js to build resilient applications. My expertise includes designing RESTful and GraphQL APIs, developing event-driven microservices and optimizing databases with PostgreSQL, Redis and MongoDB. I have deployed cloud-native applications on AWS, Google Cloud and Azure, leveraging Kubernetes, Docker, Terraform and serverless computing to ensure scalability and high availability.

In machine learning and AI, I specialize in deep learning-based perception, real-time object detection and sensor fusion. I have developed and optimized CNN-based models for object detection and classification using PyTorch, TensorFlow and OpenCV, achieving efficient inference through GPU acceleration and model quantization. My expertise also covers SLAM-based localization, reinforcement learning for robotic control and autonomous navigation with Nav2 and MoveIt.

I develop real-time robotic applications using ROS and ROS2, integrating LiDAR and radar-based perception and designing multi-sensor fusion pipelines. I utilize simulation tools like Gazebo and RViz to refine motion control and path-planning and I streamline deployments with CI/CD pipelines using Jenkins, GitHub Actions and Kubernetes.

On the iOS front, I build high-performance mobile apps with Swift and SwiftUI, incorporating CoreML for on-device AI, real-time data streaming and secure authentication via Firebase, OAuth and JWT. I also create GraphQL APIs with Apollo Client to facilitate efficient data retrieval.

I focus on optimizing system throughput, reducing latency and improving resource utilization through intelligent load balancing and caching. I am eager to collaborate on innovative projects in AI-driven automation, robotics, cloud-native platforms and advanced mobile applications.

Let’s connect and shape the future of technology together.