Lucien Carroll
Cofounder Head Of Data And ML
San Leandro, California, United States
Summary
👤
Senior🎓
Top SchoolLucien Carroll is a cofounder and Head of Data and ML with 13 years of experience applying computational linguistics and probabilistic modeling to real-world language systems. He combines deep academic training (PhD in Linguistics) with hands-on engineering leadership at Cisco, where he led multilingual NLU/NLG expansion and prototyped LLM-based features for Webex Assistant. Lucien has contributed to notable open-source conversational AI tooling (MindMeld), improving query prediction and testing infrastructure, and has strong DevOps and backend experience. His work spans corpus building, ASR evaluation, speech acoustics, and low-resource language description—bringing together rigorous research and product-focused delivery. Based in San Leandro, he now directs data and ML efforts for a caregiving startup, translating language technologies into practical assistive solutions.
13 years of coding experience
11 years of employment as a software developer
University of California, San DiegoBA BS Linguistics Physics, BA BS Linguistics Physics at UC Santa BarbaraMA program Computational Linguistics, MA program Computational Linguistics at San Diego State University
English, Spanish, Chinese, Portuguese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
nlp10
pytest10
python10
natural-language-processing10
testing10
cli9
command-line9
command-line-interface9
machine-learning8
ml8
active-learning7
documentation7
docker4
dockers4
Programming languages (6)
Github contributions (5)
cisco/mindmeld
Jul 2018 - Oct 2022
An Open Source Conversational AI Platform for Deep-Domain Voice Interfaces and Chatbots.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:105 reviews, 75 commits, 31 PRs in 4 years 4 months
Contributions summary:Lucien primarily contributed to the `mmworkbench` module of the MindMeld platform, adding functionality for query prediction bootstrapping and entity markup. Their work involved modifying existing CLI commands and implementing features for generating predicted annotations in a file. Furthermore, they enhanced the testing suite, fixing existing tests and adding new tests for the markup functionality. They also made changes to the build process and added dependency updates.
nlpchatbotsdeep-learningconversationalconversational-ai
ucsd-field-lab/kwaras
Mar 2013 - Jan 2022
Contributions:44 commits, 1 PR, 18 pushes in 8 years 11 months
corpus-managementcorpuselan
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