Edward Kangogo

I am a skilled Python Developer with a strong focus on Artificial Intelligence (AI) and the Internet of Things (IoT). Over the years, I have honed my expertise in developing, deploying, and optimizing sophisticated AI models while seamlessly integrating these models into IoT systems for real-world applications. My background in software development and embedded systems allows me to create innovative solutions that merge data-driven insights with physical devices, enhancing automation and connectivity across various industries.

My proficiency in Python is extensive, ranging from writing clean, efficient, and maintainable code to leveraging powerful libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn for machine learning and deep learning tasks. I have a strong foundation in core Python programming and am adept at creating RESTful APIs using frameworks like Flask and Django. This enables me to develop versatile applications that can interface with front-end systems and IoT devices, providing comprehensive solutions for complex challenges.

In the realm of AI, I excel in developing machine learning models for various purposes, including classification, regression, and anomaly detection. My deep learning expertise allows me to design and train neural networks for tasks such as image recognition and natural language processing. Moreover, I am skilled in deploying AI models to production environments, including cloud-based platforms and edge devices, ensuring that they perform efficiently in real-world scenarios.

As an IoT specialist, I have a strong understanding of embedded systems, microcontrollers, and sensors. I am experienced in programming microcontrollers like Arduino, ESP8266, and Raspberry Pi for IoT applications. My knowledge of IoT communication protocols, such as MQTT and HTTP, ensures reliable data transmission between devices and cloud services. Additionally, I am proficient in deploying AI models on edge devices, enabling real-time data processing and decision-making without relying on cloud connectivity.

In the area of cloud computing and DevOps, I have experience deploying and managing applications on platforms like AWS, Microsoft Azure, and Google Cloud Platform. I am skilled in using Docker for containerization and Kubernetes for orchestration, ensuring scalability and efficient resource management in IoT ecosystems. My expertise in setting up CI/CD pipelines with tools like Jenkins and GitLab CI allows me to automate the build, test, and deployment processes, ensuring seamless updates and maintenance of AI and IoT applications.

Beyond technical skills, I am adept at data analysis, including data manipulation, statistical analysis, and visualization using Python libraries like Matplotlib, Seaborn, and Plotly. I leverage AI and machine learning models for predictive analytics, enabling businesses to make data-driven decisions, particularly in IoT systems where predictive maintenance and anomaly detection are crucial.

I am well-versed in Agile methodologies, including Scrum and Kanban, for managing software development projects. My experience in leading cross-functional teams helps deliver high-quality products within deadlines. I also have strong skills in technical writing and documentation, ensuring clear communication of complex technical concepts to various stakeholders.