Victoria Lin
Member Of Technical Staff at Thinking Machines Lab
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVictoria Lin is an AI research scientist and engineer with a decade of experience building large-scale intelligent systems and multimodal LLMs, currently a Member of Technical Staff at Thinking Machines Lab after leading research at Meta on Llama4 pretraining, sparse early-fusion architectures, and retrieval-augmented generation. Her background spans industry research at Meta, Salesforce, and Microsoft and a PhD from the University of Washington, blending deep technical rigor with production-focused model engineering. She contributes to open-source SQL tooling—improving parsers and canonicalization in notable repos like moz-sql-parser and the widely used text2sql-data—demonstrating a knack for making complex data interfaces robust and standardized. Based in San Francisco, she focuses on scaling information processing for knowledge-intensive tasks and often bridges algorithmic research with practical backend systems.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of WashingtonMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of OxfordBachelor of Engineering - BE Electronic and Information Engineering, Bachelor of Engineering - BE Electronic and Information Engineering at The Hong Kong Polytechnic University
Github Skills (14)
sql-parser10
parser10
parsing10
sql10
parse10
python10
database9
testing9
text-formatting9
nlp9
formatting9
databases9
data-engineering8
natural-language-processing7
Programming languages (10)
Github contributions (5)
jkkummerfeld/text2sql-data
Dec 2018 - Mar 2019
A collection of datasets that pair questions with SQL queries.
Role in this project:
Backend Developer
Backend DeveloperContributions:43 commits, 2 PRs, 7 comments in 2 months
Contributions summary:Victoria primarily focused on modifying and enhancing the `tools/convert_spider.py` and `tools/canonicaliser.py` files, which suggests contributions related to data processing and query manipulation within the text2sql domain. These changes include functionalities like adding semicolons, standardizing blank spaces, capitalizing, and ordering SQL queries. This work indicates a focus on improving the parsing, standardization, and canonicalization of SQL queries.
sql-queriessqlneural-networkpairdatabase
mozilla/moz-sql-parser
Dec 2018 - Dec 2018
Let's make a SQL parser so we can provide a familiar interface to non-sql datastores!
Role in this project:Back-end Developer
Back-end DeveloperContributions:20 commits, 5 PRs, 8 comments in 3 days
Contributions summary:Victoria primarily focused on enhancing the functionality of the SQL parser. Their contributions include implementing support for "NOT IN" and "NOT LIKE" operators, which involved modifications to the parser and formatting components. They also addressed issues related to nested query handling and removed skipped tests after fixing the issue. Furthermore, they added a test for the "NOT LIKE" operator, and refactored code by renaming keywords.
sql-parsersqlsqlitedatabaselet
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