Eric LeFort

• Created/maintained several TPU-based State-of-the-Art model nightly distributed training tests
• Designed a CLI toolkit for TPU users to better understand their training runs and debug issues
• Designed a kernel-level adaptation to support the PJRT runtime on SparseCore (proprietaryembedding hardware accelerators)
• Owned the release of the official TPU Docker images for Tensorflow (versions 2.13, 2.15, 2.16)
• Helped write official technical documentation (e.g. the TPU runtimes page)
• Consulted with customers to help them onboard smoothly onto TPUs

Helped spearhead a new team focused on data science initiatives. The first milestone was a document anonymization system using NER models built in-house. I architected and implemented the software side of the system along with an intern under my supervision. I also created a database to maintain the documents.

• Led a team in the design/implementation of an org-wide algorithm grading library
• Led the design/implementation of a new algorithmic component that reduced prediction errors by~1% in production systems
• Led the design/implementation of a prediction error investigation tool that cut investigation time from~2 hours/error down to ~10 minutes/error
• Trained as a security certifier and certified an embedded computer vision component
• Created a GPU health-checking library to automatically release unhealthy EC2 hosts