Technical Leadership: Lead the software engineering team, providing technical direction, mentorship, and fostering a collaborative environment to achieve high-quality software solutions.Project Management: Oversee the entire software development lifecycle, ensuring timely delivery of projects, adherence to Agile methodologies, and efficient use of project management tools like Jira.System Architecture: Design and implement scalable and secure system architectures, integrating microservices and managing cloud infrastructure to support the company's growth and technological needs.Code Review and Quality Assurance: Conduct thorough code reviews, enforce best coding practices, and implement automated testing frameworks to ensure the reliability and performance of the software.Stakeholder Collaboration: Collaborate with cross-functional teams to align technical efforts with business goals and enhance the overall user experience.

●Assist in developing, testing, and maintaining software applications.● Collaborate with developers and team members on various projects.● Troubleshoot and debug software issues under minimal supervision.

1. Assist in the development and maintenance of software applications under theguidance of senior developers.2. Collaborate with team members to identify technical requirements and proposesolutions to address them.3. Gain hands-on experience with software development tools and technologies,including version control systems, IDEs, and testing frameworks.4. Learn and apply software development best practices, such as Agilemethodologies and continuous integration/continuous deployment (CI/CD)pipelines.5. Communicate effectively with team members and stakeholders to update onproject progress, challenges, and solutions.6. Take initiative to learn new skills and technologies, seeking opportunities forgrowth and professional development within the organization.

Assisted in developing data models and analytics for ShopOkoa, an appdesigned to help small businesses in Africa manage credit sales and accessworking capital loans.Analyzed transactional data to identify patterns in credit sales, enabling thedevelopment of algorithms to predict repayment behavior and optimize loanofferings.Created visual dashboards using PowerBi to monitor key metrics such as loandisbursement rates, repayment success, and user engagement.Leveraged Python libraries (Pandas, NumPy) to clean, process, and analyzelarge datasets related to small business credit behavior.Collaborated with the data engineering team to streamline data collection andprocessing workflows, improving the efficiency and accuracy of credit riskmodels.Worked closely with cross-functional teams, including software developers,product managers, and business analysts, to integrate data-driven insights intothe overall strategy.Utilized data analytics tools to provide insights on potential markets, informingthe strategic direction of product development and marketing efforts.Contributed to the documentation of data processes and analysismethodologies, ensuring knowledge transfer and continuity within the team.

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