Machine Learning Model Training & Object Detection Platform (Cliris Group)
VideoObject Detection
Led the development and deployment of machine learning models for automatic object detection on surveillance camera feeds. Created and managed real-time video data pipelines using TensorFlow for detection and AI training purposes. Optimized model training using advanced hardware acceleration taught AI systems to recognize and classify detected entities accurately.
• Designed and built a machine learning platform for training and evaluating detection models.
• Trained, validated, and deployed object detection models on video surveillance data.
• Applied data labeling and annotation strategies for video datasets to enhance model performance.
• Integrated AI models with hardware-accelerated pipelines for faster inference and retraining.
Led the development and deployment of machine learning models for automatic object detection on surveillance camera feeds. Created and managed real-time video data pipelines using TensorFlow for detection and AI training purposes. Optimized model training using advanced hardware acceleration taught AI systems to recognize and classify detected entities accurately. • Designed and built a machine learning platform for training and evaluating detection models. • Trained, validated, and deployed object detection models on video surveillance data. • Applied data labeling and annotation strategies for video datasets to enhance model performance. • Integrated AI models with hardware-accelerated pipelines for faster inference and retraining.
2018 - 2019