Uday Nandaniya

I am a computer engineering graduate with a focus on artificial intelligence, practical machine learning, and deep learning applications. During my degree I led and delivered multiple projects—from plant disease detection using VGG16 to hospital systems with ML-backed predictions—demonstrating strong hands-on skills and measurable accuracy improvements.

My work includes implementing LSTM and CNN models, building web-enabled ML projects with Django and PHP, and integrating OpenCV for face authentication and voice-based controls. I hold certifications in C, Python, AWS Cloud Foundations, SQL, and machine learning, and I consistently apply data-structures and engineering principles to produce robust results.

I contribute in leadership roles and cross-functional teams, having served as Vice Chairman of the IEEE Computer Society and organized campus events. I am motivated to join a team where I can apply advanced ML/DL techniques to real-world problems and continue growing as an AI practitioner.