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luigivicidomini/README.md
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MSc Degree Specialization Current Status

🧠 About Me

I am a Computer Engineer graduated from the University of Salerno (UNISA), deeply passionate about the intersection of advanced software intelligence and physical hardware. My expertise spans across Artificial Intelligence and Intelligent Robotics, while I am highly intrigued by the world of Embedded Systems.

  • πŸ”­ Current Focus: Developing and optimizing intelligent systems and real-time computing pipelines.
  • ⚑ Hardware Enthusiast: Hands-on experience developing on Single Board Computers (SBCs) and microcontrollers, bridging the gap between low-level optimization and high-level AI algorithms.

πŸš€ Featured Projects

πŸ€– Video-Conditioned Multi-Task Robotic System

MSc Thesis Project | AI & Intelligent Robotics

  • Developed an end-to-end multi-task robotic framework where tasks are given via human demonstration videos.
  • The system perceives, understands the human action from the video stream, and translates it into actionable trajectories for the robot in its current operational workspace.
  • Real-World Validation: Successfully deployed and tested on a physical UR5e robotic arm.
  • Tech Stack: ROS MoveIt Robosuite PyTorch OpenCV Python

πŸ“± LookAround

BSc Thesis Project & Apple Foundation Program Alumni

  • An assistive iOS application designed to enhance autonomy for blind and visually impaired individuals.
  • Implemented camera-based barcode scanning connected to a nutritional database to process and audibly speak out product details to the user.
  • Developed an on-device OCR page reader feature capable of scanning and instantly reading books or documents aloud via text-to-speech.
  • Tech Stack: Swift Xcode

πŸ’» Tech Stack

πŸ“Š Core Languages

C C++ Python Java Swift MATLAB

πŸ€– AI, Computer Vision & Robotics

ROS MoveIt PyTorch OpenCV Scikit-learn NumPy SciPy

πŸŽ₯ Multimedia & Streaming

GStreamer (Real-time Pipelines, HW/SW Encoding/Decoding, Protocol Streaming, Edge Audio/Video AI)

⚑ Parallel Computing & Big Data

Apache Spark Apache Hadoop OpenMP MPI

πŸ—„οΈ Databases

SQL

πŸ”Œ Hardware & Edge AI (SBCs)

Arduino STM32F3401RE NVIDIA Jetson Radxa RK3588 Radxa Orion O6 Milk-V Duo 256m Lichee RV Nano

πŸ‹ Containers & Virtualization

Docker UTM

🌐 Web Technologies

HTML5 CSS3 JavaScript

πŸ› οΈ Tools & Build Systems

Git CMake Make LaTeX VS Code Visual Studio Xcode

πŸ’» Operating Systems

Ubuntu Debian macOS Windows


πŸ“« Connect with me

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  1. Geekgineer/motcpp Geekgineer/motcpp Public

    A blazing-fast, modern C++ multi-object tracking library featuring SORT, ByteTrack, OC-SORT, BoostTrack, and more built for real-time performance, cross-platform deployment, and MOT benchmarks.

    C++ 115 21