Brenno C.

Hello! I bring 10+ years of experience designing innovative solutions for complex challenges. As a UNESP researcher with IEEE publications and CES presentations, I excel in turning cutting-edge technology into impactful, real-world applications.

I am a Machine Learning Engineer and Data Scientist with over 10 years of experience across diverse industries, including Defense, Health tech, Agritech, Retail, and Automotive. My expertise spans Computer Vision, Neural Networks, Artificial Intelligence, and Machine Learning. I specialize in data engineering for large-scale datasets and diverse inputs, leveraging frameworks like TensorFlow and PyTorch, and integrating complex APIs into practical solutions.

Key Skills and Expertise:

• Computer Vision: Advanced expertise in 3D Reconstruction, Stereo Matching, and Multiple View Geometry.
• Machine Learning: Proficient in Object Detection, Semantic Classification, and Feature Extraction.
• Robotics: Skilled in SLAM (Simultaneous Localization and Mapping), Motion Planning, and Localization.
• Core Frameworks & Tools: Python, C++, TensorFlow, PyTorch, Caffe, YOLO, SSD, OpenMVG, CUDA.
• Data Engineering: Handling and processing large-scale datasets with Python and SQL.
• Industry Applications: Proven experience in Retail, Agritech, Health Tech, and Automotive sectors.
• Medical AI: Experience in healthcare applications, such as detecting early pulmonary embolism.