Amanat Kafizov

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.

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.

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.

Designed and soldered 15 PCBs for navigational equipment. Tested 10 different components of space apparatuses in electromagnetic compatibility camera.