Moreno Yaba
Embedded Software Engineer Internet Service Router @Nokia
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WORK HISTORY
Embedded Software Engineer Internet Service Router @Nokia
Develop and maintain C/C++ applications for deep packet inspection (DPI), enabling Nokia routers to accurately identify and classify diverse internet traffic types. Implement new feature applications using YANG models and contribute to protocol-level enhancements across various router platforms. Conduct unit testing with PyShell to ensure code quality and reliability; actively debug and resolve feature-related issues in the production codebase. Collaborate with cross-functional teams to integrate DPI capabilities into broader network intelligence and traffic management systems.
EDUCATION
Western University
Bachelor of Science: Electrical Engineering, Wireless Communications
Western University
Bachelor of Science - BS, Computer Science
Western University
University Certificate - UC, Engineering Leadership and Innovation
Florida International University
Master of Science - MS, Internet of Things
ABOUT MORENO YABA
Embedded Systems Engineer with a multi-disciplinary background in Electrical Engineering, IoT, and Computer Science. I specialize in building secure, scalable machine learning systems for edge devices and cloud infrastructure. At Nokia, I develop deep packet inspection features in C/C++ and YANG, enabling intelligent traffic classification in service routers. My work integrates embedded systems, ensuring performance, reliability, and security.I led the development of SecSplitLLM, a privacy-preserving split federated learning framework using PyTorch, Opacus, and CrypTen for scalable SMPC. This system benchmarks BERT-based models across NLP datasets, optimizing for latency, communication cost, and differential privacy budgets (ε).My embedded experience includes programming microcontrollers (ESP32, with BLE, SPI, and I2C protocols, and building CI/CD pipelines using Docker, GitLab, and Doxygen. I’ve also worked with ML frameworks like TensorFlow, PyTorch, and Keras, and cloud platforms including AWS, Azure, and Watson.I hold multiple Microsoft Azure certifications in AI, Data, Cloud, and Security Fundamentals, and have completed additional specializations in: Natural Language Processing (DeepLearning.AI) Generative AI for Cybersecurity Professionals (IBM) Generative AI with Large Language Models (DeepLearning.AI) Passionate about deploying LLMs on constrained devices, optimizing inference pipelines, and advancing privacy-preserving AI at the edge.
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