🚀 Starting my scientific journey in computer engineering in 2015, I discovered a profound passion for machine learning through a key project classifying human emotions from EEG signals. This pivotal experience propelled my focus towards leveraging advanced machine learning and deep learning techniques to tackle real-world challenges, especially in improving healthcare outcomes, as demonstrated in my published research. My expertise extends to robust software development, with over 10 years of programming experience in Java, JS, Python, MATLAB, and Flutter, enabling me to not only design complex ML models but also build and integrate them into scalable, user-friendly applications across multiple platforms.
👨💻 Currently, I am involving in several projects:
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I am working on "Digimaze", an e-book reading application. The frontend is being built using Flutter. Alongside the application development, I am also developing a BI system specifically for this project. visit Digimaze
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I am working on utilizing Transformer models for the task of converting vital signals, likely exploring new ways to interpret or process this critical patient data.
🔮 My vision is to continuously develop my skills and knowledge to contribute to the advancement of healthcare through AI. I am deeply passionate about leveraging AI to tackle challenges in healthcare, from early disease detection to personalized treatment. I aim to create solutions that can help save lives, improve patient outcomes, and make healthcare more accessible and efficient worldwide. Ultimately, I aspire to be at the forefront of innovation, using AI to rescue more people and make a meaningful impact on global health.