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Cinfo

AI
Dev
Video

Development AI based applications for realtime broadcasting.

At Cinfo, I played a key role in revolutionizing 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 improvements. 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 reduces production costs while maintaining professional broadcast quality.

Project Videos

Tiivii sports AI broadcast system

Technologies Used

C logo C
C++ logo C++
Python logo Python
Cuda logo Cuda
Ffmpeg logo Ffmpeg
Conan logo Conan
Keras logo Keras
PyTorch logo PyTorch
OpenCV logo OpenCV
Tensorflow logo Tensorflow
Docker logo Docker
Git logo Git
FastAPI logo FastAPI
CMake logo CMake
MlFlow logo 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.