Built and maintained an application that scaled to over 20K monthly users, communicating with cross-functional teams regarding product and design.• Implemented RESTful API integrations and explored GraphQL for optimized data fetching, reducing API calls by 30• Worked closely with the product team to re-configure the processing of invoices, payments and receipts, to save over 5,000 customers’ time and improve cash flow.• Collaborate with other teams using GitHub Issues and Discussions for efficient project management and bug tracking• I contributed to and supported the transition to micro-frontend architecture, which ultimately facilitated more efficient collaboration for distributed teams within the whole company.• Utilized MVC and MVVM design patterns to create maintainable and scalable code structures and Set up and maintained CI/CD pipelines using Jenkins, streamlining deployment processes and reducing release times by 60

Built Nuru, a farmer management and productivity web app, using Next js.• Developed a full-stack web application using Django, a Python-based web framework, for the backend. Operated and maintained the platform for a year, including rolling out multiple new features and multiple updates.• Built a user interface for users to keep track of their referral discounts and commissions, and claim funds periodically.• Crafted, configured and maintained several backend AWS services using a combination of the AWS console and SDK, as well as infrastructure-as-code deployments.• Built a fully-featured administrative dashboard to track business and infrastructure metrics, and to perform certain backend tasks more easily.

Played a key role in developing and documenting deep learning projects, providing valuable technical expertise and producing concise and accessible documentation for developers and researchers.• Authored a featured project and article for the company blog, showcasing technical expertise and thought leadership.• Contributed to the architectural modifications and custom loss functions for the neural networks that allowed the inference of multiple targets from images with semi-supervised training.