Hi, my name is Giorgia Carboni
I'm a Computer Vision Engineer passionate about AI, Machine Learning and Game Development.
Experience
Computer Vision R&D Engineer
Fine-tuned Llama-Mesh on custom datasets and containerized AI services with Docker. Built scalable MLOps pipelines for mixed reality assistants using FastAPI and LangChain.
Engineer
Deployed and managed services (Tomcat, JBoss) on Linux VMs. Handled incident management and executed Windows Server migrations to ensure operational continuity.
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Projects I'm working on:
Video Frame Interpolation & Upsampling (C++/Python)
Working on frame interpolation and resolution upsampling for custom videos, leveraging Nvidia DLSS (RTX 4090), optical flow, and NVOFA FRUC.
Meta Quest Simulation (Unity/C#)
Currently developing a VR simulation to practice and explore Meta Quest libraries within the Unity engine.
Past Projects:
Tree Predictor for binary classification (Python)
Implemented a tree predictor from scratch using Gini index/entropy, applied to classify poisonous mushrooms.
Ping Pong AI (C#)
Developed an AI agent using Unity's ML-Agents toolkit to learn Ping Pong via reinforcement learning.
Atrial Fibrillation Detector (Python)
Implemented a low-complexity algorithm for AF detection by applying signal preprocessing techniques to ECG data.
Point cloud acquisition using sensor (C++)
Implemented a custom C++ application to acquire and process point cloud data using the Occipital Structure Core sensor.
Technical Skills
AI & Computer Vision
- PyTorch, Pandas, Numpy, Sklearn
- Hugging Face Transformers & LMMs
- Distributed Training (torchrun)
- GPU Memory Optimization
- OpenCV, MediaPipe
3D & VR Development
- CUDA, Open3D
- Unity Engine
- VR Systems & Simulation
Web & Infrastructure
- FastAPI, Gradio
- Docker, AWS (Basic)
- PostgreSQL + PGVector
- Unix Shell, Vim
Languages
- Proficient: C, C#, Python
- Familiar: C++, Java, Bash