Hi, I am Alejandro Garnung Menéndez 
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My interests focus on the research and development of analytical techniques and machine learning for computer vision and image processing to continuously improve a variety of applications, with an emphasis on cutting-edge systems and processes that involve object inspection and measurement algorithms, particularly in digital images and 3D point clouds. Additionally, I am deeply interested in large language models (LLMs), multimodal models (VLMs), generative and diffusion models, and their deployment across diverse real-world applications.
C/C++/C#
70%
Python
40%
Web development
HTML, (S)CSS, JavaScript, Jekyll, Flask, FastAPI, Vercel, Jekyll, Svelte, Astro20%
Assembly (x86/64)
20%
Databases
SQLite, PostgreSQL, MySQL, MongoDB, MariaDB20%
Computer Science & Engineering
2D & 3D Computer Vision, ML, DL, Computer Graphics90%
Libraries
OpenCV, PyTorch, PCL, Open3D, CloudCompare80%
Dev Tools
Linux, Bash, Qt, GLSL, CUDA, OpenGL60%
DevOps & Automation
Docker, Git, CMake, qmake30%
Artificial Intelligence – Computer Science – Data Analysis – 3D Industrial Simulators – Predictive Models – Time Series – Generative and Diffusion Models – Information and Communication Technologies - Large Language Models (LLMs) - Multimodal Models (VLMs).
Implementation of real-time metrology systems – high-precision inspection and measurement algorithms with 3D laser technology – point cloud reconstruction and filtering – deployment of computer vision solutions.
Surface defect detection – study of industrial solutions – software for continuous monitoring and real-time analysis with 2D cameras – image processing using analytical techniques and artificial intelligence.
Advanced simulation – detection and classification algorithms – industrial software deployment – sensor integration.
Title: Advanced 3D Point Cloud Noise Filtering and Denoising Techniques.
Grade: 9.34. Specializations in computer vision, applied mathematics, image processing, algorithms, integrated industrial systems, detection, classification, simulation, advanced experimentation, and artificial intelligence. Master's Thesis: Development of a system for the validation of industrial parts pose on conveyor belts with a focus on simulation and advanced experimentation (link) (grade: 10).
Grade: 7.43. Specializations in mobile robotics, programming in ROS, and embedded systems. Bachelor's Thesis: Integration of an omnidirectional autonomous educational mobile robot in ROS (link) (grade: 10).