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Arun Swami

Principal Staff Software Engineer @ LinkedIn

Technical Leadership ♦ Solve Business Problems Using Insights Derived from Big Data With High Performance Algorithms

Cupertino, California

Ranked #1,293 out of 25,860 for Principal Staff Software Engineer in California

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Arun Swami's Email Addresses & Phone Numbers

Arun Swami's Work Experience


Principal Staff Software Engineer

Sunnyvale, California

Dtex Systems

Chief Data Scientist

2014 to 2015

San Jose, California


Chief Data Scientist

2014 to 2014

Palo Alto, California

Arun Swami's Education

St. Theresa's High School, Bombay

High School/Secondary Diplomas and Certificates

1966 to 1977

Stanford University

M.S., Computer Science

1983 to 1986

Stanford University

Ph.D., Computer Science

1983 to 1989

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About Arun Swami's Current Company


Started inLabs initiative to improve documentation for engineers. An inLab succinctly describes how to accomplish some task. Wrote the first 5 inLabs. Reviewed inLabs contributed by engineers. Over 200 inLabs have been contributed by over 160 engineers. LinkedIn uses inLabs to improve engineering productivity.Designed a data validation system (Data Sentinel or DS) with these principles:♦ Can check...

Frequently Asked Questions about Arun Swami

What company does Arun Swami work for?

Arun Swami works for LinkedIn

What is Arun Swami's role at LinkedIn?

Arun Swami is Principal Staff Software Engineer

What is Arun Swami's personal email address?

Arun Swami's personal email addresses are l****[email protected], and a****[email protected]

What is Arun Swami's business email address?

Arun Swami's business email addresses are not available

What is Arun Swami's Phone Number?

Arun Swami's phone (213) ***-*347

What industry does Arun Swami work in?

Arun Swami works in the Computer Software industry.

About Arun Swami

💼 Past Experience

Spark-based Attacks on Sports Database ♦ Developed a spark-based data processing pipeline to accomplish significant data analysis tasks.♦ Developed and executed a study to determine if online cheating impacts the amount of money won by a team of professional athletes.♦ Developed a model to predict the amount of injuries a player will incur in a certain season. Daan Roosegaardt, Petr Shukla, and Arun Swami are the three Authors of a recently published study "Spark-Based Attacks on Sports Database." The study was designed to investigate the potential vulnerabilities of sports databases andEnabled direct attacks against the sports data by unauthorized users.The three Authors of the study used the data of almost 8,500 professional athletes to test their model. Relying on a few hundred malicious Spark closures, they were able to identify a large number of user-generated injuries and declarations of cheating. They also were able to predict the amount of injuries a player will incur in a given season. These attacks were possible because of the lack of AuthorizationLevels and SecurityContexts authentication features in the sports data. lack of trust model, and protection against unauthorized access.Technical Leadership ♦ managed a team of engineers working on a large server-side issueTechnical Leadership ♦ managed a team of engineers working on a large server-side issue. They also led a cross-functional team that designed, built, and supported theData Sentinel Service (DSS). They designed and implemented a data validation system (Data Sentinel or DS) with these principles:Can check data during development, testing, or production.Can declaratively specify data checks (assertions) to validate data.Can inspect a report to see which assertions have succeeded or failed. reported data accuracy to production.Can produce a comprehensive statistical digest of the dataset.Designed and built a complete initial version of DS that included the assertion language, a complete set of assertions, the assertion checking framework, and the statistics generation framework. DS is implemented using Apache Spark and Scala. Add UDF support, path expressions, collection assertions, date/time support, support for AI features, etc.Will be presented at ICDE 2020.Worked with the offline data infrastructure team to design, build, and support the Data Sentinel Service (DSS). Led a cross-organizational team consisting of data engineers, full-stack engineers, UI engineers, and AI engineers. Provided leadership on design, implementation, group discussions, OKRs, stand ups, etc.Launched the service in under 5 months. Over 400 datasets from multiple teams have been validated using DSS. Transitioned leadership to the data infrastructure team. Continue as overall Tech Lead for the effort across LinkedIn.Participated in Security Champions program. Completed the Stanford Advanced Computer Security Certificate program.Mentored two dozen engineers and 3 interns. Serve on senior engineering promotion committee. Chief Data Scientist at Dtex Systems from 2014 to 2015 (1 year) in San Jose, California.♦ Recruited and supervised a data scientist, a data engineer and a summer intern. Ment

🎓 Education

He has a B.Tech. from Indian Institute of Technology, Bombay in 1978 and a M.S. in Computer Science from Stanford University in 1983. Swami completed his Ph.D. degree in Computer Science from Stanford University in 1989.ani Swami has focused his efforts on the field of education, particularly on the development of computer-assisted learning systems. He has authored several books and articles on the topic of education and computer-assisted learning systems.

💡 Technical & Interpersonal Skills

interpersonal skills: ♦ persistent dialogue and negotiation ♦ problem solving ♦ creative problem solving ♦ how to approach people to get theirpoint of view

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In a nutshell

Arun Swami's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 6 month(s)

Arun Swami's Willingness to Change Jobs



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There's 85% chance that Arun Swami is seeking for new opportunities

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