I am a Computer Science & Engineering student at ENSTA Paris (M1/Level Bac+4), with a strong foundation in software development and mathematical modeling from the Federal University of Pernambuco (UFPE).
I am passionate about Artificial Intelligence, specifically focusing on Computer Vision and Deep Learning. My work ranges from developing real-time object detection for autonomous systems to optimizing image quality assessment using multi-scale neural networks.
- Deep Learning & CV: PyTorch, OpenCV, CNN architectures, Object Detection (YOLO), Image Processing.
- Systems & Software: C++, Python, Java, SQL.
- Networking & Concurrency: Multi-threaded applications, ENet library, TCP/IP.
- Mathematics: Statistics, Linear Algebra, Optimization, Signal Processing.
Developing the Computer Vision system for an autonomous vessel at ENSTA. Implementing real-time object detection algorithms.
Research in partnership with Softex-UFPE. Utilizing multi-scale neural networks and frequency analysis to evaluate and enhance image quality metrics.
A high-performance C++ implementation featuring low-latency networking via the ENet library and robust memory management.
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- LinkedIn: linkedin.com/in/lucasabsalao
- Location: Palaiseau / Paris, France 🇫🇷
