Tong Zou - Software Engineer at Meta

Tong Zou

Software Engineer at Meta

Bellevue, Washington, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Tong Zou is a software engineer with 8 years' experience building database and ML-driven infrastructure, currently at Meta after leading database development at Inspur Group. He architected KaiwuDB’s autonomous management platform and an application-centric data model that unified disparate sources and delivered workload diagnosis tools used to optimize SQL performance for high-revenue clients. Combining an MS in Statistics from the University of Washington and a BS in Applied Mathematics, he blends rigorous quantitative thinking with practical engineering—applying ML for failure forecasting, performance modeling, and anomaly detection in production systems. An active open-source contributor, he has improved core NLP tooling by hardening NLTK’s Porter Stemmer for real-world text processing. Notably, he enabled NULL support in a time-series DB prototype to onboard a multimillion-dollar client, showing a focus on pragmatic engineering that drives business outcomes.

8 years of coding experience

6 years of employment as a software developer

Master of Science - MS Statistics, Master of Science - MS Statistics at University of Washington

Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Shandong University

Github Skills (9)

nltk10

python10

natural-language-processing10

data-structure9

algorithm9

data-structures9

algorithms9

unit-test8

machine-learning7

Programming languages (2)

C++Python

Github contributions (5)

nltk/nltk

Mar 2020 - Sep 2020

NLTK Source

Role in this project:

Back-end Developer

Contributions:3 reviews, 8 commits, 1 PR in 6 months

Contributions summary:Tong primarily focused on enhancing the Porter Stemmer within the NLTK library. Their contributions include fixing stemming behavior, adding functionality like a lowercase option for stemming, and addressing specific issues related to case sensitivity. These changes directly improve the accuracy and usability of the stemming algorithm, making it more robust for natural language processing tasks. The user's work is centered on the core functionality of the NLTK library.

nlppythonmachine-learningnltknatural-language-processing

PhanatosZou/Parkinson-Prediction-Based-on-Demographic-Information-and-Voice-Features

Oct 2017 - Feb 2019

Parkinson Classification Based on Demographic Information and Voice Features

Contributions:8 commits, 2 PRs, 8 pushes in 1 year 4 months

pythondeep-learningmachine-learningdiabetespredictions

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial