Arpan Agrawal

Software Engineer

Bengaluru, Karnataka, India8 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Distributed SQL databases with YugabyteDB.
Developed frameworks for Hadoop and Spark job tuning.
Research Fellow at Microsoft focusing on advanced query execution.

Stackforce AI infers this person is a Backend-focused engineer with expertise in data infrastructure and distributed systems.

Contact

aagrawal@yugabyte.com +919695627860 LinkedIn

Skills

Core Skills

Distributed Sql DatabaseResearchData TransformationData Infrastructure

Other Skills

AlgorithmsApache KafkaArtificial IntelligenceCC++Code AICompilersComputer NetworkingData StructuresData privacyGDPR complianceGenerative AIHTMLHadoopJava

About

I am a computer science graduate from IIT Kanpur, India. I am currently working on YugabyteDB. Previously, I was a Research Fellow at Microsoft Research. I have also worked in LinkedIn's data infrastructure team and at Prophecy as an early engineer.

Experience

8 yrs 11 mos

Total Experience

2 yrs 2 mos

Average Tenure

4 yrs 2 mos

Current Experience

Yugabyte

Staff Software Engineer

Apr 2022 – Present · 4 yrs 2 mos · Bengaluru, Karnataka, India

YugabyteDB is a Distributed SQL database. I am working as part of the database internals team.

YugabyteDBDistributed SQL database

Microsoft

Research Fellow

Jul 2021 – Apr 2022 · 9 mos · Bengaluru, Karnataka, India

Vectorized query execution using SIMD intrinsics.

Vectorized query executionSIMD intrinsicsResearch

Prophecy.io

Principal Software Engineer

Aug 2019 – Jul 2021 · 1 yr 11 mos · Bengaluru Area, India

Prophecy offers data transformation copilot. It has integrated visual, code and generative AI for building data pipelines.

Data transformationVisual AICode AIGenerative AI

2 roles

Software Engineer

Jul 2017 – Aug 2019 · 2 yrs 1 mo · Bengaluru Area, India

Developed TuneIn, a framework to tune Hadoop and Spark jobs automatically. The project was accepted in Spark + AI Summit 2018, San Francisco and Strata 2018, NYC. Additionally, contributed to member data privacy and GDPR compliance.

HadoopSparkData privacyGDPR complianceData infrastructure