Played a pivotal role in Sky's Identity team, developing a customer identity verification portal using Java, Spring Boot, and React. This portal facilitated OTP generation and verification, streamlining customer identity checks for call agents.
Contributed to the MySky App in the Digital Technology team at Sky, working extensively with React Native, TypeScript, Node, Firebase and GraphQL. Released new app features on the App Store and Play Store, focusing on deep linking, third-party SDK maintenance, and enhancing specific user journeys.
Collaborated with backend teams, made changes to Redux slice to ensure a seamless journey across web and mobile platforms. These efforts were highly praised by stakeholders for their effectiveness.
Monitored the MySky App using Grafana and Dynatrace to ensure a smooth user experience. Prioritised robust testing practices with Jest and Playwright, and implemented CI/CD pipelines using Docker, Jenkins, and Concourse for seamless software automation.
Improved application documentation on Confluence, ran release calls, and supported the application on weekends. Demonstrated a commitment to excellence and continuous learning, fostering a collaborative and optimistic work environment.
In my role as the founder and educator at Binaryhood, my commitment is to empower aspiring web and mobile developers. At Binaryhood, I provide extensive tutorials covering a wide spectrum of development, ranging from foundational concepts to advanced techniques. The content spans diverse topics, offering guidance on fundamental languages like Java and delving into intricacies such as building a ChatBot using APIs in Flask. With a focus on various languages and frameworks, the tutorials also include valuable tips for developers at every skill level.
Developed Mozz Wear, an Android application in Java using Android Studio, that detects mosquitoes by analysing their flight tone through audio recordings and spectrogram generation.
Integrated a deep-learning Bayesian Neural Network (BNN) model converted into TensorFlow, enabling probabilistic prediction of mosquito presence with high accuracy.
Designed wireframes and mock-ups for the user interface, optimising performance, reliability, and efficiency. Included a scheduling feature for automated audio recordings, crucial for night-time data collection.
Maintained the app on the Google Play Store, facilitating real-time mosquito detection for the people of Tanzania. The project, funded by the Bill & Melinda Gates Foundation, significantly contributed to malaria prevention efforts by providing valuable data on mosquito-dense regions.
Sky [Software Engineer]
Binaryhood [YouTube]
MozzWear [Research Intern]