# Charles Chen

> Staff Software Engineer at Google DeepMind

Location: Stanford, California, United States
Profile: https://flows.cv/charleschen

## Work Experience
### Staff Software Engineer @ Google DeepMind
Jan 2023 – Present
Designed and built Gemini’s lamda_cli LLM evaluation platform powering post-training iteration and release validation for all Google/DeepMind LLM releases from Bard 1.0 (3/2023) to Gemini 2.5 (3/2025) and Gemini 3 (11/2025). Founded Bard/Gemini evaluation infrastructure team and Everest evaluation platform team. Scaled support to hundreds of evaluation types with a wide range of integrations and execution strategies. Led infra generalization effort making lamda_cli Google’s primary evaluation platform for user-facing LLM surfaces, with 100+ customer teams (Search, YouTube, Workspace, etc.), 4000+ internal users and millions of platform eval runs.

### Senior Software Engineer @ Google
Jan 2019 – Jan 2023
Google Brain / Tensorflow / Core ML

Developer and lead for Tensorflow Extended (TFX), a machine learning and ML-ops platform and its successor Tflex. Built SDK and component primitives, optimized Apache Beam-based execution at scale and directed collaborations with Vertex AI and external users (Twitter, Spotify). Led the Interactive Tflex research-to-production and iterative development initiative, producing a seamless notebook, CLI, pipeline and model lineage tracking experience across ML development modalities.

### Software Engineer @ Google
Jan 2014 – Jan 2019
Google Cloud Dataflow / Apache Beam

Developer of Google Cloud Dataflow, a large-scale batch and streaming data processing system (open-sourced as Apache Beam). Built Dataflow’s worker orchestration infrastructure, reliably supporting thousands of compute workers per job. Built the Dataflow Python SDK and runtime. Implemented integrations with Google’s Cloud Storage and Cloud Debugger. Implemented reference runner for streaming Beam Python pipeline execution. Led development of Beam Python’s stateful processing API. Committer for Apache Beam.

### Undergraduate Researcher in Computational Genomics @ Bejerano Lab, Stanford University
Jan 2012 – Jan 2014
Developed highly accurate cross-species computational genome screens for the discovery of novel phylogenetically-conserved genomic enhancer sequences.  Screen results reproduced known enhancers and produced novel candidate elements, which were subsequently validated in vivo in transgenic zebrafish.

### Software Engineering Intern @ Palantir Technologies
Jan 2012 – Jan 2012
Delivered 20x speedups in performance-critical rendering components of Palantir Metropolis.  Designed and implemented an interactive HHLang (Palantir Metropolis domain-specific language) code editor and developed a new JavaScript parser-generator. Developed new static analysis tools.

### Software Engineering Intern @ Facebook
Jan 2011 – Jan 2011
Greatly improved the usability of SQL views in Apache Hive. Added support for common view operations (ALTER VIEW RENAME, CREATE TABLE LIKE VIEW, CREATE OR REPLACE VIEW). Improved the predicate pushdown optimizer by resolving issues with: duplicate alias names in sub-queries; an over-conservative pushdown of predicates over OUTER JOINs; and an inconsistency in pushdown over GROUP BY operators. Implemented transitivity of filtering predicates over JOIN keys.

### Software Engineering Intern @ Lockheed Martin
Jan 2009 – Jan 2010
Built software tools to support systems engineering for the Geostationary Lightning Mapper and Solar Ultraviolet Imager satellite project.


## Education
### Master of Science (M.S.) in Electrical Engineering
Stanford University

### Master of Science (M.S.) in Computer Science
Stanford University

### Bachelor of Science (B.S.) in Computer Science
Stanford University


## Contact & Social
- LinkedIn: https://linkedin.com/in/charles-chen-6389b127

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Source: https://flows.cv/charleschen
JSON Resume: https://flows.cv/charleschen/resume.json
Last updated: 2026-04-12