Junior Software Engineer with AI/ML, Full-Stack Web, and Desktop Application Deve

I specialize in web development using PHP, with a strong focus on building dynamic, database-driven applications. I have developed systems that handle real-time data processing, user input validation, and seamless interaction between the frontend and backend. My experience includes designing and implementing full CRUD functionalities, integrating MySQL databases for structured data management, and creating efficient server-side logic to support scalable web applications. I ensure that data is securely handled and properly organized for optimal performance. On the frontend, I work with HTML, CSS, and JavaScript to create responsive and user-friendly interfaces that enhance user experience. I also have experience debugging, optimizing code, and maintaining web applications to ensure reliability and performance. I follow clean coding practices and structured development approaches, making my projects maintainable, readable, and efficient. My goal is to build web applications that are not only functional but also intuitive and performance-driven.

I have experience in developing software using Python, where I create simple and functional applications. I usually work on handling data, implementing program logic, and building features based on the system requirements. I’ve used Python for tasks like data processing, basic automation, and building small systems. I also have some experience using libraries such as OpenCV and TensorFlow for projects related to image processing and machine learning. I can debug errors, improve code step by step, and make sure the program runs correctly. I’m still learning more about writing cleaner and more efficient code, but I can already build working applications based on what is needed.

I have basic experience using IBM Cloud Machine Learning to support machine learning projects. I use it to train, manage, and deploy models in a cloud environment, which helps reduce the need for high-end local hardware. In my work, especially with my SignLink project, I handle data preparation and model development using Python, then utilize cloud platforms to improve training performance and make deployment easier. This allows the system to process data more efficiently and makes it possible to integrate AI features into web or mobile applications. I am familiar with working on datasets, testing models, and organizing outputs so they can be used in real-time applications. While I am still improving my skills in cloud-based machine learning, I can already apply it in practical projects to make systems more scalable and accessible.

have experience in technical support, assisting users with software, hardware, and system-related issues. I help troubleshoot problems, guide users through solutions, and ensure that systems and applications work properly. In my work, I handle tasks like checking system functionality, fixing minor errors, setting up devices, and providing step-by-step guidance to users. I also document recurring issues and solutions to make future troubleshooting faster. I am comfortable working with both software (web applications, Python scripts, or PHP systems) and basic hardware setups. My goal is to provide clear and practical solutions so that users can continue their work smoothly.

I have basic experience in data engineering where I work on handling and organizing data for different applications. I usually deal with collecting data, cleaning it, and preparing it so it can be used properly in systems or analysis. I’ve used Python to process data and perform simple transformations. I also have experience working with databases like MySQL, where I store, retrieve, and manage structured data. I understand the basic concept of data pipelines, where data moves from one source to another, and I try to make sure the data is accurate and organized. I also do some debugging when there are errors in the data or the process. I’m still learning more about advanced tools and techniques, but I can already work with data in a practical way and support simple data-driven projects.

I have experience in video editing using CapCut, where I create and edit videos for different purposes like school projects, presentations, and social media content. I usually work on cutting clips, arranging scenes, and adding basic transitions to make the video smooth and easy to follow. I also use features like text overlays, background music, sound effects, and simple animations to improve the overall quality of the video. I make sure the timing of clips and audio matches properly so the output looks organized. I’m still improving my editing style and exploring more advanced features, but I can already produce clean and presentable videos. I also try to adjust my edits depending on the theme or purpose of the video.