About
I'm an innovative Software Engineer with a knack for turning complex challenges into creative solutions. With over 3 years of experience in full-stack development , I thrive on pushing the boundaries of what's possible. Proficient in front-end technologies HTML, CSS, JavaScript and frameworks like React, Angular & Vue, I craft intuitive user interfaces that leave a lasting impression. On the back-end, I excel in Laravel, Node.js, and database management (SQL) . With an eye for detail & passion for collaboration , I love tackling projects that make a real impact.
Beyond coding, you'll often find me experimenting with different musical instruments, and finding joy in the creative process of making music .It's a delightful balance that adds a rhythm to both my professional and personal pursuits.
Experience
2022 - Present I design, develop, and maintain software solutions that enhance the efficiency and functionality of transportation systems. My responsibilities include coding and testing software components, collaborating with cross-functional teams to understand project requirements, and implementing innovative solutions to address complex challenges in the transportation sector.
- Java
- Laravel
- Vue.js
- PostgreSQL
2019 - 2020 Coded, debugged, and implemented software features, collaborating with cross-functional teams to achieve project goals, and staying updated on industry trends. I actively participated in code reviews and troubleshoot issues.
- PHP
- JavaScript
- React
- Redux
Selected projects
ZuriPay SDK
Built an SDK to simplify payment integration with the ZuriPay platform, enabling seamless initiation, verification, and handling of payment transactions. Designed for flexibility and developer-friendliness, the SDK supports callback and promise-based handling with thorough documentation.
- TypeScript
- Node.js
- NPM
Zita
Developed an open-source website dedicated to helping users explore names, their meaning and pronunciation. Users have the ability to contribute their own names to the database and also discover names added by others.
- Next.js
- MongoDB
- Git
- Vercel
Tobacco Grading using ML
Implemented a computer vision-based tobacco grading system, achieving a 95% accuracy rate, reducing grading time by 40%, and enhancing quality control.
- Raspberry Pi
- Ubuntu
- TensorFlow
COVID-19 API CASE Zimbabwe
Developed and deployed a real-time API providing up-to-date COVID-19 statistics for Zimbabwe. Enabled users to access and visualize key pandemic metrics, contributing to public awareness and informed decision-making.
- Node.js
- Express.js
- mongoDB
