I work where hardware meets software meets humans. Messy problems, real solutions.
I am a Computer Systems Engineer. build things that sit at the intersection of hardware and software, where a wrong byte crashes a device, not just a browser tab. My focus is on closing the gap between people, machines, and the software that connects them.
My professional journey and qualifications.

Computer Systems Engineer, BSc | 2023

Electronics, Automation and Command Technician | 2018

Software Engineer | Sept 2023 - Current

Software Engineer Intern | Feb 2023 - Jun 2023

Research Member | Sept 2022 - Jun 2023

Electrician | Feb 2021 - March 2022
My most recent projects showcasing innovative thinking and practical solutions.
Efficiently handling large datasets can prevent memory leaks or app crashes. Techniques such as sliding window algorithms, API pagination, and optimizing image sizes play a key role in robust development.
Scrolling a large list of data can lead to a leak of memory or crash of the app. Many approach can be used like sliding window algorithm, API pagination, optimize image size, etc.
Scrolling a large list of data can lead to a leak of memory or crash of the app. Many approach can be used like sliding window algorithm, API pagination, optimize image size, etc.
This app simplifies member management and attendance tracking for church leaders, integrating Firebase for real-time data storage and offering useful features for administrative tasks.
A project and research initiative to mitigate public speaking phobia using VR training and web platforms, developed in collaboration with an Erasmus+ team.
The Smart Rooms project optimizes classroom environments by integrating IoT technology to enhance energy efficiency and improve the learning experience.
Optimizing class schedules to minimize campus travel and classroom utilization using artificial intelligence.
A web platform designed to assist lawyers in managing legal cases efficiently, ensuring compliance with government regulations, and automating critical tasks to save time and reduce human error.
Leveraging computer vision techniques to automate the identification and quality control of oranges on a production line
A project aimed at educating children about road safety through an interactive traffic light system.