David L.

Specialized in desktop applications, computer vision, hardware, and algorithmic optimization. I develop end-to-end software solutions that span from desktop graphical interfaces to deep learning pipelines and hardware communication. My profile combines strong software architecture skills with the ability to execute in highly complex technical domains. * Languages: C++ (C++11/C++20), Python, Prolog, JavaScript, SQL, Bash * GUI/Desktop: Qt6 (C++), PyQt6 — MVC/Mediator architecture, signals/slots, internationalization, custom widgets. * Web: Flask, SQLAlchemy, Jinja2 — HTTPS/TLS servers, secure sessions, multi-step flows. * Computer Vision: OpenCV, Open3D, MMPose (ViTPose), OpenPose — image processing, 3D meshes, pose estimation. * Deep Learning: PyTorch + CUDA, SMPL/SMPL-X — body model fitting, gradient-based optimization, anthropometric measurements. * Hardware Interfacing: I2C, SPI, Serial (UART), MQTT — communication with Arduino and Raspberry Pi. * Environments/Tools: CMake, Docker (NVIDIA CUDA), Conda, Git. * Design Patterns: MVC, Observer, Strategy, Factory, Composite, Command/State, among others, applied in real production projects.