# Philip Zeyliger

> Software Engineer

Location: San Francisco, California, United States
Profile: https://flows.cv/philipzeyliger

## Work Experience
### Software Engineer @ exe.dev
Jan 2025 – Present | San Francisco, California, United States
LLM agent loops with tool use

### Board Member @ Alta Vista School
Jan 2023 – Present | San Francisco, California, United States

### Software Engineer @ Resolve AI
Jan 2024 – Jan 2025 | San Francisco, California, United States
Trying to get the robots to read the logs and metrics for us...

### Principal Software Engineer @ Airtable
Jan 2019 – Jan 2023 | San Francisco Bay Area
Worked with the Performance and Architecture team (and others!). Lots of fun changes, optimizations, and features up and down the stack.

### Chief Coffee Consumption Officer @ Funemployment (Brief and Undetermined)
Jan 2019 – Jan 2019 | San Francisco, CA

### Software Engineer @ Cloudera
Jan 2008 – Jan 2019 | San Francisco Bay Area
At Cloudera, I co-started, architected, and led the Cloudera Manager product. It's a management system ubiquitously used by Cloudera's customers to install, configure, operate, monitor, and upgrade Cloudera's platform.
  
At various points, I've managed small and medium teams. I've also worked on the Apache Impala query execution engine and internal infrastructure.  I re-built our build system, with an eye towards overall engineering efficiency, and optimized our AWS usage to save Cloudera significant dollars on cloud computing resources.

### Software Engineer @ Google
Jan 2006 – Jan 2008
At Google, I had the good fortune to work on Megastore, a system that provided schema management, declarative indexes, multi-datacenter replication, and entity-scoped transactions to user-facing applications built on top of BigTable. I worked on the indexing code, the C++ connectors, and the write-ahead log. Highlights included helping many end users on board into the system.

### Programmer @ D. E. Shaw & Co.
Jan 2004 – Jan 2006
I worked on a multi-platform, 40,000-line C++ analytics platform in close collaboration with traders and quantitative analysts. Perl and Excel frontends were exposed to build applications for risk management,  research, trading, and operations. Highlights: added multi-threading support, embedded Perl within the library, debugged and improved database usage patterns, and introduced regression testing and wiki-based documentation.


## Education
### BA in Mathematics
Harvard University


## Contact & Social
- LinkedIn: https://linkedin.com/in/philipzeyliger

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Source: https://flows.cv/philipzeyliger
JSON Resume: https://flows.cv/philipzeyliger/resume.json
Last updated: 2026-04-05