Amanat Kafizov
Teaching Assistant at KAUST AI Academy
Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)
Saudi Arabia
Hi, I'm Amanat Kafizov!
Teaching Assistant at KAUST AI Academy
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Experience
KAUST AI Academy
Teaching Assistant
December 2022 - Present
Organized and facilitated AI boot camps on topics including Introduction to Python for AI and Advanced AI.
Assisted 50 undergraduate students in gaining practical, hands-on experience with state-of-the-art machine learning and deep learning tools used extensively in the industry, including Scikit-Learn and TensorFlow.
European Organization for Nuclear Research (CERN)
Research Intern
July 2023 - July 2024
Contributed to the development of the high-granularity calorimeter (HGCAL) for integration into the Compact Muon Solenoid (CMS) detector within the Large Hadron Collider (LHC).
Wrote a C++-based script to read and process data generated by the HGCAL frontend on-detector electronics sensors.
Utilized Python Apache Spark for in-depth billions event data analysis.
Involved in proposing and implementing ideas for the horizontal (parallelization) development of the HGCAL backend off-detector electronics.
European Organization for Nuclear Research (CERN)
Research Engineer
June 2023 - June 2024
Developed and optimized a C++ script to gather, process, and organize data from on-detector electronics sensors for AI-driven analysis.
Leveraged Python Apache Spark to clean and preprocess billions of particle physics events for further analysis.
Collaborated with physicists to label and curate datasets for targeted research objectives.
Proposed and implemented parallelization strategies to enhance the efficiency of backend off-detector FPGA-based electronics systems.
KAUST AI Academy
Teaching Assistant
December 2022 - September 2024
Assisted undergraduate students and Ministry of Interior (MOI) employees in gaining practical, hands-on experience with state-of-the-art machine learning and deep learning tools widely used in industry.
Designed and delivered a week-long hands-on workshop on TinyML for IoT, covering topics such as embedded machine learning, edge AI, LoRaWAN, MQTT, and anomaly detection.
Led practical labs on TensorFlow Lite, Edge Impulse, Arduino Nicla Vision, and Docker-based virtualization, enabling participants to build real-world IoT applications.
Introduced participants to data visualization with the TIG stack and automation using Telegram bots.
Provided mentorship and technical support for projects integrating computer vision, audio processing, and anomaly detection in resource-constrained environments.
State University of New York at Buffalo
Summer Research Intern
May 2018 - August 2018
Developed OFDM system for Terahertz communication in Matlab software.
Tested the developed system on a TeraNova terahertz communication testbed. This was the first demonstration of OFDM communication at THz frequencies ever.
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Languages
English
Russian
Turkish
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