Master’s candidate in Computer Science at Lucerne University of Applied Sciences and Arts, specializing in Deep Learning and Machine Intelligence. Previously worked as a Software Engineer and Product Engineering Intern at major technology firms, delivering performance improvements, root-cause analysis, and automation for revenue management and payments integration. Research and project experience includes neuromorphic hardware-aware deep learning for satellite image classification, PyTorch-based implementations, and NLP sentiment analysis for Twitter clone apps. Strong software engineering foundation with expertise in Java, Python, SQL, deep learning frameworks, and data-driven problem solving.…Master’s candidate in Computer Science at Lucerne University of Applied Sciences and Arts, specializing in Deep Learning and Machine Intelligence. Previously worked as a Software Engineer and Product Engineering Intern at major technology firms, delivering performance improvements, root-cause analysis, and automation for revenue management and payments integration. Research and project experience includes neuromorphic hardware-aware deep learning for satellite image classification, PyTorch-based implementations, and NLP sentiment analysis for Twitter clone apps. Strong software engineering foundation with expertise in Java, Python, SQL, deep learning frameworks, and data-driven problem solving.WWWW…