Mikhael Zewdu comes with a background in applied mathematics and statistics. Having studied at the University of California, he’s experienced and well versed in technical development in Python, C++ and Solidity. As a technical expert, Mikhael has a vast range of interest from risk management, equity trading and data analysis to blockchain and AI.
His strengths include accelerated development, research and consensus algorithms. With a proven ability in database design and architecture, he brings strategic solutions for Mammoth while building its core network.