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.

Adi Maskil

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.

Available to hire

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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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Work Experience

Final Project R&D (collaboration with Qarakal Quantum) at Qarakal Quantum
January 1, 2026 - Present
Conducted applied R&D to optimize calibration arrays using Artificial Intelligence. Developed a Deep Learning model for Automated Verification of calibration results, designed to replace complex manual control mechanisms. Analyzed signals from quantum sensors to identify and validate Rabi Oscillations in noisy data, exploring architectures (e.g., LSTM/CNN) to assess calibration integrity. Personal contribution included developing a customized deep learning model, experimenting with architectures, and performing performance analysis to drive precise system improvements.

Education

B.Sc. in Computer Science at The College of Management Academic Studies (COLMAN)
January 1, 2023 - June 1, 2026
Coursework: Discrete Mathematics, Linear Algebra I at The Open University of Israel
January 1, 2023 - January 15, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services