Rahul Sharma

Project Manager at Sago

Delhi, India
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Summary

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Rahul Sharma is a project manager with over three years of hands-on experience in machine learning data operations at Amazon’s Alexa Data Services, now leading projects at Sago. He combines operational rigor from his time as an operations manager with deep domain experience in data annotation, defect rate analysis and pilot program execution. Rahul's background bridges technical data workflows and stakeholder-facing program delivery, informed by an MBA in Finance. He has a practical track record of scaling ML data processes and adapting quickly to new project scopes. Based in Delhi, he brings both the discipline of large‑scale operations and the curiosity to iterate on emerging ML data challenges. Colleagues describe him as someone who turns long-tenure experience into continuous learning and measurable process improvements.
code4 years of coding experience
job5 years of employment as a software developer
bookMaster of Business Administration Finance General, Master of Business Administration Finance General at Rukmini Devi Institute of Advanced Studies
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Github Skills (9)

unit-testing10
spark10
unit-test10
scala10
apache-spark9
aws-glue8
javaparser7
antlr7
python7

Programming languages (3)

JavaScalaJupyter Notebook

Github contributions (5)

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awslabs/dqdl

Sep 2023 - Apr 2025

This package contains the grammar in ANTLR g4 format and Java parser for the Data Quality Definition Language (DQDL), used by AWS Glue Data Quality.
Contributions:1 release, 4 reviews, 7 PRs in 1 year 7 months
antlraws-gluejavaparser
rdsharma26/deequ

Sep 2022 - Jun 2025

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Contributions:62 pushes, 43 branches in 2 years 9 months
data-qualityspark-mlapacheunitspark
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