Moyosore Sosan

Ably provides a platform to power synchronized digital experiences in real-time.

• Maintained the Go and JS client libraries, ensuring the delivery of new features, bug fixes, and testing throughout the entire lifecycle making the products better, more reliable and more efficient.
• Delivered several features on the Go SDK, including the monitoring feature for channel statistics such as history, connections, messages and other relevant channel information.
• Ensured that features of the Go and Python SDKs were well tested in addition to fixing several failing and Flaky tests.
• Developed the company’s real-time Python SDK from the ground up in collaboration with a teammate to offer customers a more reliable and efficient real-time experience.
• Implemented emoji reactions live chat using the Javascript SDK and React framework as part of the company’s examples for customers to discover real-time features and use cases.

Frontdoor offers home service plans, such as repairing and replacing electrical, plumbing, HVAC systems, water heaters, refrigerators, dishwashers, and cooktops.

• Using Golang and microservice architecture, I successfully contributed to building the company’s new product which helps customers schedule home repair services.
• Developed the time slot selection logic which is the key feature of the product. This logic was used in calculating the next possible timeslot, taking weekends and holidays into account.
• Actively created new gRPC API endpoints and optimised existing endpoints with a response time within 250 milliseconds to give customers a better user experience when interacting with the product.
• Monitored, optimised the performance and simplified the implementation of existing services using Splunk.
• Debugged production issues and created subsequent mitigation plans to make sure users could reach the product and perform their desired functionality.
• Worked closely with the development team to set up and maintain CI/CD pipelines using GitLab CI/CD.
• ● Collaborated with development teams to containerize applications with Docker and orchestrated them using Kubernetes.

Needle finds a company's most passionate and knowledgeable brand advocates and connects them with customers on their website.

• Optimised database queries and improved application performance, reducing response times.
• Implemented automated testing with PyTest, leading to a reduction in software bugs.
• Worked on data analysis projects using NumPy and pandas, providing valuable insights to improve business strategies.
• Utilised Python to develop a dashboard that aggregated and visualised key application performance metrics derived from customer-advocate chat data to allow companies to derive insights from the data and make better product decisions.
• Enhanced performance by adapting legacy backend data to align with new front-end design requirements resulting in better user interface and more seamless interaction with lesser engineering cost.
• Upgraded and continuously updated the existing chat system to the latest version of Angular.