Zohreh Karimi
Stanford
Summary
I have several years of hands-on experience with cost-effective, high-throughput data pipeline creation, from data ingestion to query optimization. I use analytical thinking in both technical problem-solving and teamwork process optimizations.
Overview
18
18
years of professional experience
Work History
Software Engineer Intern
Cswitch Inc (Acquired by Agate Logic Inc.)
Santa Clara
05.2008 - 09.2025
- Developed an analytical graph placer algorithm optimizing the connectivity length based on quadratic programming in C++
Software Engineer
Confluent
Mountain View
12.2019 - 06.2025
- Led several projects to develop features for scalability and automation of DevOps, the backend database for Confluent's Observability systems, based on Open Source Apache Druid.
- Scaled throughput to multi-million events per second, and a query rate of 500 per second.
- Met with customers when needed and presented at multiple summits. Authored tech paper: https://www.confluent.io/blog/scaling-apache-druid-for-real-time-cloud-analytics-at-confluent.
Software Engineer
Google Inc.
Mountain View
05.2015 - 11.2019
- Led the design and development of highly scalable, reliable, low-latency, high-throughput systems for quota management and monitoring for GCP using C++ and Java.
Software Engineer
Tokbox Inc. (Acquired by Telefonica)
San Francisco
07.2013 - 12.2015
- Worked as backend engineer and developed server-side REST APIs in Java. Developed end-to-end and integration tests for APIs in Node.js.
- Developed database scalability techniques including Mysql sharding, database replication (read/write split), and caching using Redis
Software Engineer
Magma and Extreme DA (both acquired by Synopsys)
San Jose
05.2011 - 01.2012
- Enhanced runtime of graph-based budget management algorithms in Tcl and C++/STL.
- Improved runtime of optimization algorithms using multi-threading in C++.
Software Engineer Intern
Synplicity Inc. (acquired by Synopsys)
Sunnyvale
06.2007 - 08.2007
- Developed an optimization algorithm on top of a force-directed analytical placement algorithm in C that improved quality in the new product release.
Education
Ph.D. - Optimization Algorithms For Large Scale Digital D
University of California, Los Angeles
Los Angeles, CA03-2011
Master of Science - Computer Architecture
University of Tehran
09-2004
Bachelor of Science - Software Engineering
University of Tehran
09-2001
Skills
- C, Java, Python programming, AWS Cloud, Kubernetes, Terraform
- Scalable high throughput low latency system design
- Cloud cost optimization
Accomplishments
- Won Google’s Diversity award for mentoring grad students either by individual mentorship or giving talks as a panelist.
- Ranked 2nd in masters program in 2004 and ranked 2nd in 1997-2001 B.Sc. calendar years in 2001.
Timeline
Software Engineer
Confluent
12.2019 - 06.2025
Software Engineer
Google Inc.
05.2015 - 11.2019
Software Engineer
Tokbox Inc. (Acquired by Telefonica)
07.2013 - 12.2015
Software Engineer
Magma and Extreme DA (both acquired by Synopsys)
05.2011 - 01.2012
Software Engineer Intern
Cswitch Inc (Acquired by Agate Logic Inc.)
05.2008 - 09.2025
Software Engineer Intern
Synplicity Inc. (acquired by Synopsys)
06.2007 - 08.2007
Ph.D. - Optimization Algorithms For Large Scale Digital D
University of California, Los Angeles
Master of Science - Computer Architecture
University of Tehran
Bachelor of Science - Software Engineering
University of Tehran
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