Berkay Deniz

• Did my Master’s Thesis: “Automated Configuration of Complex Networks Using AIDriven Intent-Based Networking” (Thesis Grade: 1.3 | Scale: 1.0–5.0, 1.0 best) - under the Chair of Communication Networks at TUM in partnership with Deutsche Telekom Technik GmbH

• Worked in the ATV Division • Developed Python-based scripts for the area-energy optimization of semiconductor chip designs, enhancing architectural efficiency

• Worked in the PSS Division • Performed hardware characterization and automated measurement sequences in the low-voltage and small-signal range • Engineered automation scripts in Python, C/C++, and Perl for laboratory measurement flows and system verification • Involved in the functional commissioning and PCB assembly of hardware test interfaces for laboratory use • Helped with assembly (soldering) and commissioning of the hardware used in the lab

• Worked at MMIC and the Power Amplifiers department • Designed and simulated high-frequency microstrip components, including Wilkinson power dividers, couplers, and bandpass filters for RF applications

• Worked with Dr. Wael Jaafar, Nesrine Cherif, and the supervisor Prof. Dr. Halim Yanıkömeroğlu • Conducted research on 3D Aerial Highway architectures, focusing on system modeling and communication strategies for UAV networks (remote due to COVID-19)

• Worked at the Software Development department • Implemented NLP algorithms for sentiment analysis using Python-based data science libraries (nltk, sklearn) • Designed a multi-threaded TCP/IP communication application in C++, focusing on robust network protocols

• Worked at Scada and Research & Development departments • Participated in the diagnostic repair and preventive maintenance of industrial power distribution transformers

• Specialization Option: Communications Systems • Master’s Thesis: “Automated Configuration of Complex Networks Using AI-Driven Intent-Based Networking” (Thesis Grade: 1.3 | Scale: 1.0–5.0, 1.0 best) - under the Chair of Communication Networks at TUM in partnership with Deutsche Telekom Technik GmbH

• Specialization Option: Signal Processing & Communication Systems • Undergraduate Thesis: “Classifying Brain Tumors with respect to Shape Features using Machine Learning Applications” (Thesis Grade: 4.0 | Scale: 0.0–4.0, 4.0 best), supervised by Assoc. Prof. Dr. Alpay Özcan