I am an AI engineer passionate about leveraging machine learning to solve real-world challenges. My current focus is the Use.Signal project, where I develop innovative solutions by applying my expertise in AI and signal processing. In my role at Acolyt, I lead the development of advanced algorithms, pushing the boundaries of predictive analytics.
My academic background in Mathematics and Computer Science provides a strong theoretical foundation for my work. This, combined with hands-on experience in Python, TensorFlow, and PyTorch, allows me to excel in machine learning, data science, and building AI-driven systems. I enjoy transforming complex ideas into practical, high-impact applications.
I believe in AI's power to transform industries and improve lives, a conviction that drives my work and inspires me to stay curious and creative by exploring emerging tech trends.