Ning Dong
Co-founder & CTO at The Influence Company
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNing Liang is a startup founder and former Facebook AI Research engineer with 11 years of experience at the intersection of software engineering, data science, and design, based in San Francisco. He has deep hands-on experience building and refining ML infrastructure and sequence-to-sequence tooling, contributing backend improvements to high-profile open-source projects like fairseq and PyTorch Translate. His work on dataset loading, upsampling, and noising demonstrates a focus on practical data engineering that improves model training robustness and scalability. Interested in real-time video generation, multimodal LLMs, and AI agents, he blends research-grade thinking with product sensibility to turn novel models into deployable systems. Colleagues value his ability to cleanly refactor complex codebases and translate research insights into production-ready APIs. Unusually for a founder, he remains an active contributor to foundational ML repos, signaling both technical depth and a commitment to open collaboration.
11 years of coding experience
7 years of employment as a software developer
Master of Science in Intelligent Information Systems, Computer Science, Master of Science in Intelligent Information Systems, Computer Science at Carnegie Mellon UniversityBachelor's degree, Automation, Bachelor's degree, Automation at Zhejiang University
English, Chinese
Github Skills (18)
algorithms10
machine-translation10
pytorch10
artificial-intelligence10
python10
load-data10
data-set10
machine-learning10
data-structure10
datasets10
data-loading10
natural-language-processing10
data-structures10
nlp10
data-pipelines9
Programming languages (5)
Github contributions (5)
facebookresearch/seamless_communication
Aug 2023 - Jun 2024
Foundational Models for State-of-the-Art Speech and Text Translation
Role in this project:
ML Engineer
ML EngineerContributions:25 reviews, 32 PRs, 43 pushes in 9 months
Contributions summary:Ning contributed to the development and maintenance of the `seamless_communication` repository, which focuses on speech and text translation foundational models. Their commits include applying suggestions from code reviews, updating setup files, and fixing header issues, indicating a role in code quality and project management. They also updated the API for the translator and fixed n_threads propagation in fairseq2.
speech
facebookresearch/fairseq
Apr 2019 - Oct 2022
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 95 commits, 29 PRs in 3 years 6 months
Contributions summary:Ning primarily focused on back-end development, contributing to the `fairseq` project, a sequence-to-sequence toolkit. Their commits demonstrate a focus on improving data handling, including the implementation of custom sampling strategies and supporting dataset upsampling. The user also worked on code formatting and refactoring to improve code quality and maintainability.
aipythonsequence-to-sequencepytorchartificial-intelligence
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