Hossein Falaki
Staff Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHossein Falaki is a Staff Software Engineer in San Francisco with 12 years of experience bridging computer science, statistics, and large-scale data systems. An early Databricks engineer and founding member of its data science team, he led end-to-end features—from R and sparklyr integrations and R Notebooks to CSV data sources and visualization integrations—and has presented his work at major industry conferences. His open-source contributions to Apache Spark (including approximate distinct counting and CSV support) and to popular projects like spark-csv and sparklyr demonstrate deep backend and distributed-systems expertise. Previously a data scientist on Siri at Apple, he brought Spark and R into production analytics workflows, showing a knack for translating research into product impact. Beyond coding, he built Databricks’ first usage-monitoring dashboards and performed executive-level analyses, blending technical depth with business insight.
12 years of coding experience
7 years of employment as a software developer
M.Math, Computer Science, M.Math, Computer Science at University of WaterlooDiploma, Math and Physics, Diploma, Math and Physics at Hasheminejad HighschoolUniversity of California, Los AngelesB.S., Computer Engineering, B.S., Computer Engineering at Sharif University of Technology
English, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
dataframes10
javas10
big-data10
apache-spark10
csv10
databricks10
spark10
back-end-development10
java10
dataframe10
r10
scala10
testing9
distributed-systems9
sql6
Programming languages (9)
Github contributions (5)
databricks/spark-csv
Dec 2014 - Sep 2016
CSV Data Source for Apache Spark 1.x
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 160 commits, 128 PRs in 1 year 9 months
Contributions summary:Hossein primarily contributed to the `spark-csv` project by modifying the codebase. These changes involved modifications in the CSV relation, java and scala related files, adding features to DefaultSource and DefaultSource15, and also included adding and updating tests. Moreover, the user added support for specifying the schema and also fixed bugs, enhancing the functionality of the project.
data-sourcecsvcsv-readerparquetcsv-data
sparklyr/sparklyr
Mar 2017 - Feb 2022
R interface for Apache Spark
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 reviews, 27 commits, 45 PRs in 4 years 11 months
Contributions summary:Hossein primarily contributed to the `sparklyr` R interface for Apache Spark by adding and modifying the databricks connection mode. Their work included integrating Databricks-specific functionality, moving the `databricks_connection` function to a separate file, and addressing issues related to system exits. They also made adjustments to the default master configuration.
rsparklyrmachine-learningrstatsspark
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