Beyond theory, I believe in bringing ideas to life through code. I’ve worked on impactful projects that reflect both creativity and real-world problem-solving. My work includes tools like ESP-OTA-Flasher and PushNotify API, built to simplify developer workflows and enable seamless communication in connected systems. I’m also developing a Vehicle-to-Vehicle (V2V) communication system using GPS data to improve vehicle awareness in low-visibility conditions, contributing to smarter, safer transportation. As part of my continuous learning journey, I’m actively exploring Machine Learning and Artificial Intelligence, applying them in innovative ways. I'm currently building a driving agent simulation with a game-like perspective to model autonomous behavior in dynamic traffic environments — combining elements of reinforcement learning, decision-making, and simulation design. I’m passionate about building solutions that matter — whether it’s web apps, intelligent systems, or tools that enhance everyday technology. Proficient in technologies like Python, Node.js, MongoDB, and cloud platforms such as AWS and Render, I’m always eager to grow, experiment, and collaborate on meaningful projects