Saiyam Sakhuja holds a postgraduate degree in Physics from NIT Trichy and is actively contributing to the advancement of Quantum Computing and Information Science. He is currently working as a Quantum Application Engineer at CDAC (Centre for Development of Advanced Computing), India, where he develops quantum algorithms for weather forecasting, builds simulators for high-performance computing, and explores hybrid classical-quantum architectures. Previously, he conducted research at Naxon Labs, Uruguay, where he explored Digital-Analog Quantum Computing (DAQC) for brain-wave signal analysis and developed Quantum Machine Learning models for cognitive state classification. He has also worked at CDAC Delhi on quantum algorithms for EEG signal analysis using Quantum Fourier and Haar Wavelet Transforms. Saiyam has authored multiple research papers across quantum ML, quantum algorithms, and experimental physics. Proficient in Python, Qiskit, and Pennylane, he is passionate about building scalable quantum technologies and envisions becoming a future leader in the quantum industry.