kenechukwu Akubue

• Developed an AI-powered agricultural assistant that helps 30+ farmers diagnose crop issues and optimize yields using machine learning.
• Integrated real-time weather and soil data analytics, enhancing decision-making for farmers and improving crop productivity.
• Designed and deployed a mobile app with an intuitive UI, ensuring accessibility for farmers with limited tech experience
• Established initial community engagement by introducing Farmi AI to local farm organizations, laying the groundwork for future partnerships.
• Implemented a dual-revenue model with subscription plans and ads, positioning Farmi AI for scalable growth in the agri-tech sector.

- Collaborated with a team of developers to design and develop RESTful APIs using Django and PostgreSQL, ensuring that they met the project's functional and non-functional requirements.

- Worked on optimizing database queries to improve app performance, resulting in a 20% decrease in response time.

- Participated in code reviews and contributed to maintaining coding standards, improving overall code quality.

- Co-founded and developed both the mobile and web app for the online store using Java and ReactJS, respectively, creating a platform that facilitated seamless shopping experiences for customers.

- Worked with the team to create a user-friendly interface that enhanced user engagement, resulting in a 15% increase in customer satisfaction rates.

- Responsible for developing and implementing an efficient checkout process, reducing cart abandonment rates by 25%.