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Schedule Interview NowMy name is Almonsour S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: React, Next.js, node.js, React Native, Java, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Official Website – Davao Oriental Polytechnic Institute, Water Billing System, MangoLens:. I am based in Mati, Philippines. I've successfully completed 3 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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2 years
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Pointwest Technologies Corporation
Developed and deployed the official website of Davao Oriental Polytechnic Institute to enhance digital presence and streamline access to academic resources. Utilized WordPress for content management and MySQL for dynamic data handling. Key features include announcements, course listings, faculty directories, and admission guidelines, improving communication and accessibility for students and staff.
Designed and implemented a desktop application for water billing using Java and JavaFX, with MySQL for backend data storage. Features include customer management, meter reading input, automated billing computation, payment tracking, and report generation, with an emphasis on accuracy and ease of use.
Built a progressive web application for real-time mango leaf disease detection using a single-label, multi-class classification model powered by MobileNetV2 and TensorFlow.js. Implemented with React, Next.js, and Legend-State for dynamic UI; Supabase and PostgreSQL for cloud-based user management. Integrated Serwist-PWA to enable offline functionality and installability for use in rural, internet-limited areas.
Bachelor of Science (BS) in Information Technology
2021-01-01-2025-01-01