I am an engineer with a Master’s degree in Astrophysics, currently working at GMV in R&D focused on multi-sensor data fusion and object tracking. My work spans classical estimation and tracking methods (Kalman-based filters, JPDA, MHT) as well as AI-enhanced approaches, applied to real-time radar and EO/IR sensor systems. I have a strong interest in Machine Learning and Computer Vision, particularly in perception, tracking, and sensor fusion problems. Through both research and development, I have worked across the full pipeline—from sensor simulation and real-time C++ systems to Python-based fusion frameworks deployed at scale—always with an emphasis on performance, robustness, and real-world applicability. I particularly enjoy tackling complex, open-ended problems, breaking them down into solvable components, and iterating until reliable solutions are achieved. Beyond the technical side, I bring a relentless, proactive mindset shaped by years of practicing demanding team and individual sports such as American football and Brazilian jiu-jitsu. These experiences have reinforced my ability to work under pressure, collaborate effectively, and take leadership when needed. I value teamwork, continuous learning, and taking initiative to drive projects forward. I am currently seeking opportunities in Computer Vision and Machine Learning, where I can continue to grow as an engineer while contributing to impactful, high-performance systems.…I am an engineer with a Master’s degree in Astrophysics, currently working at GMV in R&D focused on multi-sensor data fusion and object tracking. My work spans classical estimation and tracking methods (Kalman-based filters, JPDA, MHT) as well as AI-enhanced approaches, applied to real-time radar and EO/IR sensor systems. I have a strong interest in Machine Learning and Computer Vision, particularly in perception, tracking, and sensor fusion problems. Through both research and development, I have worked across the full pipeline—from sensor simulation and real-time C++ systems to Python-based fusion frameworks deployed at scale—always with an emphasis on performance, robustness, and real-world applicability. I particularly enjoy tackling complex, open-ended problems, breaking them down into solvable components, and iterating until reliable solutions are achieved. Beyond the technical side, I bring a relentless, proactive mindset shaped by years of practicing demanding team and individual sports such as American football and Brazilian jiu-jitsu. These experiences have reinforced my ability to work under pressure, collaborate effectively, and take leadership when needed. I value teamwork, continuous learning, and taking initiative to drive projects forward. I am currently seeking opportunities in Computer Vision and Machine Learning, where I can continue to grow as an engineer while contributing to impactful, high-performance systems.WWWW…