Sahar Massachi
Self Employed
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSahar Massachi is an independent software engineer and founder with nine years of experience building data infrastructure, election-integrity systems, and production-grade AI agents. She has driven performance improvements in core open-source projects like Presto—optimizing ORC readers and stream readers to speed up large-scale SQL queries—and previously built data platforms at Meta that were cited in executive testimony. Sahar combines hands-on backend engineering with product and organizational leadership, having founded a policy think tank, led engineering teams, and run rapid-election projects that raised six-figure sums in weeks. Recently she’s focused on agent architectures, evals, and harness engineering (see sahar.io/projects), while also publishing widely read pieces on data and AI. Based in New York, she pairs rigorous CS training from Brandeis with a knack for rallying cross-functional teams to ship high-impact systems.
9 years of coding experience
7 years of employment as a software developer
MA, Computer Science, MA, Computer Science at Brandeis University
Hebrew, French
Stackoverflow
873reputation
46kreached
3answers
11questions
Github Skills (22)
query-optimization10
big-data10
java10
javas10
sql10
presto10
data-set9
data-model9
orc9
user-data9
data-structures8
data-structure8
hadoop8
html6
eclipse6
Programming languages (3)
Github contributions (5)
prestodb/presto
Aug 2019 - Nov 2019
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 10 PRs, 3 pushes in 3 months
Contributions summary:Sahar primarily focused on enhancing the Presto query engine, particularly in the area of data reading and filtering. Their contributions involved adding and optimizing stream readers for specific data types, as evidenced by the "DoubleSelectiveStreamReader" and associated benchmark implementations. Further improvements were made to the selectivity of the ORC reader, optimizing how filters are applied to improve query performance, especially around the cost-based optimizer. These changes contribute to the overall efficiency and performance of Presto's data processing capabilities.
distributed-sqlquerybigdataquery-enginesql
sayhar/presto
Aug 2019 - Nov 2019
The official home of the Presto distributed SQL query engine for big data
Contributions:137 pushes, 14 branches in 3 months
queryhivebigdataquery-enginesql
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