Vincent Nguyen - Owner at Seedfall

Vincent Nguyen

Owner at Seedfall

Greater Paris Metropolitan Region France

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Summary

🤩

Rockstar

🎓

Top School

Vincent Nguyen is a seasoned operator and investor who transformed Ubiqus from a €5M single-service local firm into a top-20 global language services leader between 2000 and 2022, spearheading adoption of automation and ML for speech recognition and machine translation. As former President who negotiated the company’s integration into the Acolad group, he combines strategic M&A experience with hands-on technical fluency. His open-source contributions to Kaldi, OpenNMT and Tensor2Tensor show concrete low-level work on speech and NMT pipelines—bug fixes, data pipelines and backend optimizations that bridge research and production. Today he runs Seedfall and invests in deep learning, biotech and greentech, bringing a founder’s eye to early-stage technical teams. Based in Greater Paris, he also manages a philanthropic endowment and leverages a CentraleSupélec engineering background to evaluate complex scientific ventures. An uncommon blend of finance, operational leadership and ML engineering makes him adept at turning research-grade AI into scalable commercial products.

10 years of coding experience

Master of Science - MS, Master of Science - MS at CentraleSupélec

Lycée Saint Louis

Github Skills (30)

api-rest10

speech-to-text10

tokenize10

machine-translation10

pytorch10

neural-machine-translation10

python10

api-design10

restful-api10

machine-learning10

data-preprocessing10

lua10

kaldi10

tokenizer10

deep-learning10

Programming languages (13)

JavaC++CSSCMLIRJupyter NotebookCudaShell

Github contributions (5)

OpenNMT/OpenNMT-py

May 2018 - Jan 2023

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Role in this project:

Back-end Developer

Contributions:37 releases, 133 reviews, 341 commits in 4 years 9 months

Contributions summary:Vincent's commits primarily focused on refactoring and restructuring the `onmt/inputters` module, indicating a strong emphasis on back-end development. The user made significant code changes to `inputter.py` and other related files to get closer to OpenNMT-tf modularity. The commits involved the modification of data loading, vocabulary management, and iterator classes, suggesting improvements to the underlying data processing pipeline. These changes likely enhanced the system's modularity, maintainability, or performance.

pytorchdeep-learningmachine-translationtranslationneural-machine-translation

kaldi-asr/kaldi

May 2016 - Apr 2019

kaldi-asr/kaldi is the official location of the Kaldi project.

Role in this project:

Backend Developer

Contributions:4 PRs, 140 comments, 16 issues in 2 years 11 months

Contributions summary:Vincent primarily worked on the Kaldi project, making improvements to shell scripts used in speech recognition pipelines. They fixed bugs in scripts related to graph generation for segmentation and utterance processing. Their commits also included updates related to a TEDLIUM release, indicating involvement in integrating and adapting Kaldi for specific speech datasets and tasks.

cudakaldiasrspeech-to-textkaldi-asr

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