Ariana Mann - Engineer at Databricks

Ariana Mann

Engineer at Databricks

Palo Alto, California, United States

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Summary

👤

Senior

🎓

Top School

Ariana Mann is an engineer with nine years of experience fusing data science, machine learning, and systems engineering to make ML-driven products and data-driven decisions practical at scale. Currently at Databricks working on ML-for-systems, she brings deep academic rigor from a Stanford PhD where her research applied operations research and statistical tools to energy-performance tradeoffs in modern computing. She’s built production data infrastructure and time-series tooling (contributions to the quokka project for making data lakes work for time series) and has a track record as a founder and algorithm lead of a profitable startup acquired in 2021. Ariana champions data democratization and self-serve reporting, believes in data-centric ML, and prefers problems with hard-to-satisfy constraints. Based in Palo Alto with an MIT physics background, she pairs quantitative depth with practical engineering and an underdog’s hustle. Outside work she’s an off-trail backpacker who thinks through decisions using Rawls’ veil of ignorance—a hint at her preference for principled, equitable solutions.

9 years of coding experience

9 years of employment as a software developer

Bachelor of Science (S.B.) Physics, Bachelor of Science (S.B.) Physics at Massachusetts Institute of Technology

Doctor of Philosophy (Ph.D.) Electrical Engineering (Information Systems Lab), Doctor of Philosophy (Ph.D.) Electrical Engineering (Information Systems Lab) at Stanford University

Github Skills (15)

aws-s310

data-engineering10

etl10

pandas10

ray10

amazon-s310

python10

s3-bucket10

data-pipelines9

data-pipeline9

distributed-systems9

sql8

dockers7

docker7

mlops7

Programming languages (3)

RustHTMLPython

Github contributions (5)

marsupialtail/quokka

Jan 2022 - Mar 2022

Making data lake work for time series

Role in this project:

Data Engineer

Contributions:18 commits, 1 PR in 2 months

Contributions summary:Ariana contributed to the development of a data processing framework, focusing on time series data. They implemented components for data ingestion from S3, processing with pandas, and integration with Ray for distributed computing. The user's commits included modifications to core classes within the `quokka` library, and setup for benchmark experiments. The changes suggest efforts to convert TPC-H data into a Parquet format and setting up pyspark reads.

pythonmysqlsqlmlopsetl-framework

A-JM/stickleback

Jun 2021 - Jun 2022

Contributions:5 pushes, 1 branch in 1 year

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