Berkay Deniz

• AI Network Automation: Developed a multi-agent LLM framework for Intent-Based Networking (IBN) to automate complex network configurations • Master's Thesis: Successfully completed research on automated network orchestration in partnership with TUM and Deutsche Telekom (Thesis Grade: 1.3)

• Chip Design Optimization: Developed custom Python scripts for area-energy optimization of automotive semiconductor architectures. • Efficiency Enhancement: Analyzed and enhanced digital hardware layout efficiency through data-driven script automation.

• Hardware Characterization: Performed automated measurement sequences in low-voltage and small-signal ranges for product validation. • Test Automation: Engineered robust lab automation and verification scripts using Python, C/C++, and Perl. • Lab Commissioning: Executed functional commissioning, debugging, and PCB soldering of hardware test interfaces.

• RF Component Design: Designed and simulated high-frequency microstrip components, including Wilkinson power dividers, couplers, and bandpass filters. • Microwave Simulation: Utilized advanced EDA tools for the modeling and optimization of RF amplifier architectures.

• System Modeling: Conducted research on 3D Aerial Highway architectures and communication strategies for UAV networks. • Network Strategy: Simulated high-altitude network topologies to optimize wireless signal routing and performance.

• Data Science & NLP: Implemented Natural Language Processing algorithms for text sentiment analysis using Python (scikit-learn, NLTK). • Network Programming: Designed and deployed a multi-threaded TCP/IP communication application in C++ for robust network protocols.

• Industrial Maintenance: Assisted in diagnostic repair and preventive maintenance of industrial power distribution transformers. • SCADA Systems: Evaluated automation data workflows within the R&D and substation grid infrastructure departments.

• 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