bruno@cabado:~$ cat experience/cinfo.md
Cinfo
- AI
- Dev
- Video
Developed AI-based applications for real-time broadcasting.
At Cinfo, I played a key role in advancing sports broadcasting through artificial intelligence. As an AI Software Developer, I specialized in developing high-performance computer vision systems that automatically track players and control cameras during live sports events. Working with C++ and CUDA, I optimized AI model inference for real-time processing, achieving significant performance gains. I designed and implemented robust ML pipelines using MLflow for model training and deployment, while leveraging technologies like PyTorch and OpenCV for computer vision tasks. My contributions helped create a cutting-edge automated broadcasting system that reduced production costs while maintaining professional broadcast quality.
## Project videos
## Technologies
C
C++
Python
CUDA
FFmpeg
Conan
Keras
PyTorch
OpenCV
TensorFlow
Docker
Git
FastAPI
CMake
MLflow
## Key achievements
- Improved AI model inference speed using CUDA and TensorRT optimizations
- Developed real-time broadcast system for sports events
- Implemented automated camera control system for live events
- Created ML pipeline for model training and deployment using MLFlow
- Optimized video processing pipeline reducing latency.
bruno@cabado:~$ mail hi@brunocabado.com# I share work, research and product experiments in AI systems
$ send-message$ wget cv.pdf$ open linkedin$ open github
© 2026 Bruno Cabado · designed & developed in Galicia with Astro