Eli is a Computer Engineering graduate with a strong academic and personal interest in Machine Learning, Computer Vision, Computer Graphics, and mathematical...
Eli is a Computer Engineering graduate with a strong academic and personal interest in Machine Learning, Computer Vision, Computer Graphics, and mathematical modeling.
His academic journey began in Computer Engineering, where a deep fascination with the inner workings of computers led him to explore several domains, including web development, networking, cybersecurity, and machine learning. Among these, machine learning stood out—not merely as a tool for prediction, but as a discipline that connects mathematics, natural phenomena, and computation. This realization was especially profound when he encountered computer vision, where concepts such as convolutional neural networks and neural style transfer revealed how abstract mathematics could be used to model human perception and artistic style.
Beyond technology, Eli is deeply passionate about animation and visual storytelling. Self-taught in drawing and animation, he understands the challenges faced by aspiring artists—particularly in regions where formal art education is scarce or undervalued. He envisions using machine learning not as a replacement for creativity, but as a supportive tool. His long-term goal is to develop personalized virtual art teachers that help artists build strong foundational skills while preserving individual artistic expression.
