ML Engineer — annotation for video tracking architectures
Contributed to sequence-based video tracking by creating annotated video training data. Applied object detection and tracking-oriented labeling to support real-time video understanding pipelines. Maintained annotation consistency across video frames to improve downstream tracking performance. • Sequence-based video tracking support • High-accuracy image/video annotation • Consistency checks across frames • Preparation of training inputs for detection and tracking models