Technical lead for building out an experimentation platform for deep learning model benchmarking & analysis

• Comparing results between NVIDIA GPUs and Lightelligence Optical Processing Units (OPUs)

• Variety of other tools for interdisciplinary teams

Contributed to development of initial OPU SDK, particularly in API design and refactoring

Conducted feasibility studies of different model architectures for deployment onto OPUs

Promoted to Lead Engineer and Architect of IBM’s end to end activity detection system for the DIVA project

Developing Frater, a machine learning and data-driven system framework for modularizing pipelines into components to allow for more flexibility

Published research in continual learning for object detection models to allow for incrementally learning new object classes

• Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors