Research Scientist
Current- Applied research on object detection for integration with public sector clients- Trained and deployed AI/ML models for object detection on a competitive project- Implemented advancements in object detection backbones, necks, and heads- Early stage SBIR for approaches to Synthetic Data for deep learning, specifically zero/few-shot learning in the context of satellite imagery- Leveraged previous kubernetes and docker experience to help improve workflows and infrastructure in air gapped environments- Improved AI/ML models through interactions with multiple stakeholders (end users through executives)