Arun Swami Email & Phone Number

Sunnyvale, Ca, Us

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 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.♦ Report can be consumed by programs in workflows to allow automatic failure handling.♦ 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.

Saratoga, California, Us

Hired to build and lead a data science and engineering team to develop analytic applications.♦ Recruited and supervised a data scientist, a data engineer and a summer intern. Mentored engineers building a data pipeline.♦ Designed and implemented a risk scoring application for insider threat using time series data. New application is 100x faster than the previous application.♦ Architected and built a platform based on Scala/Spark to enable analytic applications.♦ Designed and implemented a pipeline for storing activity and analytic data in Elasticsearch to support exploration of data. Prototyped visualizations in Kibana.♦ Prototyped anomaly detection over time series data to detect employees at risk of leaving.

Was hired to develop algorithms for cyber security using data science.♦ Architected and built several analytic applications for cyber threat detection.♦ Introduced Scala and Spark within the company.

Mountain View, Ca, Us

♦ Designed, built, and launched search ranking feature to reduce time to result (TTR).♦ Improved Gmail search by reducing frequency of unsuccessful searches by a factor of 2.♦ Designed and prototyped suggestions in Google TV to help increase engagement.♦ Led project using Python to provide new insights into ad performance for Sales. Worked with Sales Analysts worldwide who used the system with their clients.♦ Led project using Java to help advertisers improve their Search Ads text. Transitioned the project to a team in Google Bangalore.

San Jose, Ca, Us

♦ Hired as an Entrepreneur-in-Residence to identify product opportunities in data mining.♦ Lead project in Java and Python to develop data mining technologies and visualizations.♦ Worked with the Adobe LiveCycle product to tailor technology to their needs.

Norwalk, Connecticut, Us

Was hired to provide a data-centric perspective in the Information Systems Laboratory.♦ Participated in team looking at new applications in computational biology.♦ Collaborated with Scripps Institute to identify problems of interest.♦ Studied fundamentals of molecular/computational biology and algorithms in these areas.

Was hired to lead the development of technology to rapidly build product guides.♦ Developed product guide technology to aid customer purchasing decisions.♦ Created a novel knowledge base structure and inference algorithm that allowed us to build 10x more product guides.♦ Worked with the founders to close acquisition by DealTime/eBay.

♦ Architected and developed a Java-based E-Commerce product for customer engagement.♦ Designed and implemented system for marketers to take informed actions in real time.♦ Developed the product architecture and technical direction for the company.♦ Ensured a successful due diligence and acquisition.

I/Pro provided a Web log analysis service to hundreds of large and small customers.♦ Resolved a critical customer situation involving Netscape.♦ Was responsible for a new version of the Web log analysis system that resulted in a 10x speed up with a 5x decrease in memory usage.

Milpitas, Ca, Us

♦ Hired to develop data mining technologies for SGI.♦ Designed and implemented SGI's data mining product (MineSet 1.0).♦ Helped with product strategy, wrote white papers, and worked with external customers.♦ Supervised four summer interns and worked with university faculty to recruit outstanding people.

Armonk, New York, Ny, Us

♦ Data Mining ◊ Invented association rules technology, developed a classifier that scales with large databases, published new indexing scheme to speed up queries over sequence data.♦ Database Algorithms and Query Optimization ◊ Developed new join optimizer for IBM's DB2/400 DB product. ◊ Invented methods for better estimates for join sizes, accurate estimation of page fetches in index scans, and parallel external sort algorithms that adapt to data skew

Ph.D., Computer Science

M.S., Computer Science

B.Tech., Computer Science And Engineering

Education record

High School/Secondary Diplomas And Certificates