Felix Labelle
Manager at PwC
Nashua, New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolFelix Labelle is an NLP-focused engineering manager with nine years of experience building and deploying domain-adapted language models and production services for compliance and environmental risk applications. He combines hands-on modelling (PyTorch, sequence tagging, IR, QA) with practical system delivery—leading annotation and active learning efforts, building front-end prototypes, and deploying models via Docker/Kubernetes-backed APIs. At PwC he led a team that instruction-tuned an LLM to cut inference costs by 90% while improving task performance, and his startup experience shows a knack for data engineering and UX-driven search interfaces. Trained at Carnegie Mellon in Language Technologies and with a background in embedded systems and audio at NASA, he brings a rare mix of research rigor and product-oriented engineering. He’s particularly strong at translating ambiguous requirements into measurable evaluation and implementation choices that save time and scale across teams.
9 years of coding experience
5 years of employment as a software developer
High School, High School at Chatham HighschoolBachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Université de SherbrookeHighschool, Highschool at Basking Ridge HighschoolMaster's degree, CS: Langauge Technologies, Master's degree, CS: Langauge Technologies at Carnegie Mellon University
English, French, German
Github Skills (57)
python9
machine-learning9
statistics9
actuator9
data-analysis9
scikit8
matlab8
scikit-learn8
datasets8
speech8
data-science8
evaluation7
simulink7
natural-language-processing7
multiclass-classification7
Programming languages (5)
Github contributions (5)
FelixLabelle/Neural-Network-Experiments
Apr 2018 - Nov 2018
Contributions:29 commits, 7 PRs, 19 pushes in 7 months
FelixLabelle/felixlabelle.github.io
Nov 2023 - Feb 2025
Contributions:89 pushes in 1 year 2 months
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