Gustavo Mezerhane

San Francisco, California, United States

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Summary

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Rockstar

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Top School

Gustavo Mezerhane is a software engineer with a decade of experience building high-performance database and infrastructure systems, currently working on infrastructure at Figma in San Francisco. He holds both a Bachelor's and Master's in Computer Science from Carnegie Mellon and contributed to CMU’s influential self-driving DBMS projects (Peloton/NoisePage), where he improved query optimization, JSON plan serialization, and testing for core optimizer and execution components. At Impira he led a storage-layer redesign that delivered 20–40x write performance improvements and drove full-stack features across backend and client services, showing a rare blend of systems-level database engineering and product-facing delivery. His background includes impactful internships at Google and Goldman Sachs, where he shipped low-latency production pipelines and cross-team backend frameworks. Comfortable across optimizer, execution, and storage concerns, he pairs deep research experience with pragmatic production impact—an engineer who moves ideas from SIGMOD papers to customer-scale systems.

10 years of coding experience

5 years of employment as a software developer

Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Carnegie Mellon University

English, Spanish

Github Skills (20)

c-language10

postgresql10

admin10

optimizers10

testing10

databases10

optimizer10

database-administration10

dbm10

cprogramming-language10

relational-databases10

dbms10

sql-database10

database10

json-serialization10

Programming languages (3)

TypeScriptC++Python

Github contributions (5)

cmu-db/noisepage

Apr 2019 - Oct 2019

Self-Driving Database Management System from Carnegie Mellon University

Role in this project:

Back-end Developer / Database Engineer

Contributions:12 commits, 20 PRs, 7 pushes in 5 months

Contributions summary:Gustavo primarily focused on implementing and improving JSON serialization and deserialization for various expression types within the database management system. They worked on the JSON serialization of different expression types, including Aggregate, Case, Function, ConstantValue, Operator, TypeCast, ParameterValue, TupleValue, Comparison, and Conjunction expressions. Furthermore, the user made changes to plan node JSON serialization, and improved the testing coverage. They also addressed a catalog bug fix and worked on fixing the bulk insert for InsertPlanNode and adding AbortRecord to logging.

management-systemdbmsdatabase-management-systemcarnegie-mellon-universityself-driving

cmu-db/peloton

Feb 2018 - Feb 2019

The Self-Driving Database Management System

Role in this project:

Back-end Developer / Database Engineer

Contributions:9 commits, 11 PRs, 1 push in 11 months

Contributions summary:Gustavo primarily contributed to the `peloton` database management system by modifying core components and testing functionalities within the optimizer module. Their commits focused on join reordering, rule application, and the addition of cardinality estimations. These changes indicate an involvement in query optimization, specifically related to join operations and predicate evaluation, improving the database's performance and query execution plans. The user also implemented testing frameworks and refactored the optimizer's internal structures.

management-systemrdbmsdatabase-management-systemself-drivingdatabase

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