Elias Ponvert is a Lead Data Scientist in Austin with 16 years of experience building production ML systems, leading teams, and bridging product needs with pragmatic, well-tested solutions. His career spans targeted roles at Target and Indeed where he drove query understanding, embeddings-based retrieval, and relevance modeling for large-scale search and recommendation systems. Grounded in a PhD in Linguistics from UT Austin, Elias combines deep expertise in language technology and unsupervised grammar induction with hands-on engineering—having built prediction APIs, Spark pipelines, and scalable indexing and retrieval systems. He is as comfortable mentoring and running training programs as he is designing evaluation tooling and production APIs, and often focuses on aligning cutting-edge research with operational constraints. A less obvious strength is his long history of work across both academic NLP research and enterprise-grade search architectures, which helps him translate linguistic insight into robust product features.
16 years of coding experience
13 years of employment as a software developer
PhD Linguistics, PhD Linguistics at The University of Texas at Austin
BA Linguistics, BA Linguistics at McGill University
Contributions:3 releases, 66 commits, 21 PRs in 3 months
processing-libraryscalatext-processing
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