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Schedule Interview NowMy name is Samuel M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, TypeScript, React Native, Java, Collaboration Tool, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Tausi App, Your Next Home, Deeptrack. I am based in Nairobi, Kenya. I've successfully completed 3 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Andela
Engineered an admin dashboard using React, Redux, and Firebase, integrating real-time APIs for messaging and data visualization, improving decision-making efficiency by 30%. Integrated real-time messaging with Firebase, reducing customer support response time by 40% and ensuring seamless synchronization with the mobile app. Optimized dashboard performance with code splitting and Redux state management, achieving 35% faster load times and guiding junior developers in scalable architecture design.
Engineered a responsive landlord dashboard using Next.js, Tailwind CSS, and TypeScript, increasing user engagement by 25% through intuitive UI/UX design and data visualization. Developed a house-hunting platform with advanced filtering using React and springboot, reducing property search time by 40% and implementing automated testing for reliability. Optimized front-end performance with code splitting and lazy loading, achieving a 30% improvement in page load speed and mentoring team members on optimization techniques.
Designed and deployed a robust KYC verification system using React, Typescript and NestJs, integrating real-time image matching to detect AI-generated deepfakes, enhancing fraud prevention for financial institutions Developed an Anti-Money Laundering (AML) feature, leveraging Python and PostgreSQL, streamlining compliance processes and improving risk assessment accuracy by 30%. Built a secure API key generation system with Node.js, reducing client integration time by 30% and ensuring controlled access to KYC and AML services.
Bachelor of Computer Science (BCompSc) in Computer science
2018-01-01-2023-01-01