Pierre-Loic Doulcet
Machine Learning Engineer at LlamaIndex
Earth, Texas, United States
Summary
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RockstarPierre-Loic Doulcet is a Machine Learning Engineer with 14 years of hands-on experience building backend systems and AI solutions from Texas. He combines practical ML engineering with strong backend expertise—evidenced by contributions to the Parsr open-source project where he improved reading-order detection, page number extraction, and PDF robustness. Comfortable navigating messy document data and production constraints, he brings a pragmatic approach to turning unstructured inputs into structured, machine-readable formats. Known for addressing edge cases (like negative PDF widths) and delivering simple, consumable outputs, he bridges research-minded modeling with production-grade engineering.
14 years of coding experience
Github Skills (9)
data-extraction10
pdf10
typescript10
typescripts10
python10
typescript-types10
document-processing10
nlp8
natural-language-processing8
Programming languages (7)
Github contributions (5)
axa-group/Parsr
Aug 2019 - Oct 2022
Transforms PDF, Documents and Images into Enriched Structured Data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 19 commits, 20 PRs in 3 years 2 months
Contributions summary:Pierre-Loic primarily contributed to the `parsr` repository by implementing and enhancing back-end modules. They focused on improving the reading order detection algorithm by adding a minimum column width option. Additionally, they added a page number detection module and made improvements to line break detection. The user also introduced a simple JSON output format and addressed code issues, including those arising from negative widths in PDF processing.
pdfparsrimagesextractiondata
codexstanford/LawScript
Nov 2022 - Mar 2023
Contributions:120 commits, 1 PR, 68 pushes in 4 months
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