You design and develop high-performance ML/DL models for object detection in astronomical images, identifying stars as spots/blobs and objects as streaks/lines
You implement detection and classification algorithms to distinguish between stellar blobs and object streaks with sub-pixel accuracy
You train and test models using synthetic and real astronomical image datasets
You document model performance evaluation and report coordinate retrieval with sub-pixel precision
You optimize algorithms for real-sky conditions including various signal and noise environments
You collaborate with hardware teams to integrate image processing solutions with ADCS components
You deliver technical documentation and briefings on algorithm performance and implementation