Hi, I’m Adi Maskil, a Computer Science student specializing in Deep Learning. I build and optimize advanced machine learning models, analyze data, and develop algorithms. I am proficient in Python, C++, Matlab, C, and Java, and I thrive in both development and research environments. I am continually expanding my theoretical and practical knowledge in machine learning to contribute to cutting-edge tech projects.
Recently, I collaborated with Qarakal Quantum on an R&D project to optimize calibration arrays using AI. I designed a deep learning solution for automated verification of calibration results and analyzed quantum sensor signals to validate Rabi oscillations in noisy data, experimenting with architectures such as LSTM and CNN to improve calibration integrity. My goal is to deliver precise, reliable AI-driven outcomes in real-world systems.
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