Abdul Quamar profile photo

Abdul Quamar

Software Engineer at Google

United States
500+ connections
Abdul Quamar on LinkedIn

Updated 8 months ago

25+

Years Experience

8

Roles

26

Skills

3

Education

About

Dr. Abdul Quamar is a Software Engineer at Google. Previously, he was a Research Staff Member at IBM Almaden Research Center. He graduated with a PhD in Computer Science from the University of Maryland at College Park. He joined the University of Maryland after serving as an officer in the Communication Corps of the Indian Armed Forces. He is a graduate of the Indian National Defence Academy at Khadakwasla, Pune. He received a B.S. from the Military College of Telecommunication Engineering (JNU), New Delhi, and a M.S. from the Indian Institute of Technology, Madras. Dr. Quamar has published over 35 articles in top database venues with 650+ citations and has 10+ US and International patents. Dr. Quamar has served on the program committee and chaired tracks of top database conferences over the past several years. He is an advisory board member of the Micro-MBA Program at UC Riverside. He is a recipient of IBM’s Research Division Award in 2019, IBM’s Invention Achievement Awards in 2020 and 2021 and the Dean’s fellowship from the University of Maryland in 2010, 2011. His research work has been successfully integrated with several IBM products such as HealthInsights, Micromedex and Watson Orchestrate. Research Interests: Dr. Quamar’s primary research interests lie at the intersection of data and AI with a focus on AI-driven distributed data management solutions. These include domain oriented semantic data enrichment and integration techniques, Polystore architectures for querying heterogeneous data, natural language interfaces to data including Text-to-SQL and conversational systems, data analytics on large-scale graph-structured data, large-scale distributed database systems.

Experience (8 roles)

Google

Software Engineer at Google Data Infrastructure

Current

Google

Jul 2022 - Present · 3 yrs 1 mo·Sunnyvale, California, United States
IBM · Full-time

Research Staff Member

IBM · Full-time

Jan 2016 - Jul 2022 · 6 yrs 7 mos·Almaden Research Center, Bay Area, California

• AI-driven data integration for IBM’s hybrid cloud data fabric: Led a team of researchers and engineers to develop smart data integration techniques for creating a semantically rich knowledge layer for IBM’s data fabric architecture. Built a micro service for semantic alignment of schemas represent...

Microsoft Research Redmond

3 roles · May 2012 - Aug 2014

Microsoft Research Intern

Jun 2014 - Aug 2014 · 3 mos·Redmond, WA

• Scalable high performance in-memory incremental analytics on big data in the cloud. Designed and built a system on Windows Azure, for enabling temporal and atemporal analytical, interactive queries on large datasets in distributed memory. The system is built using a high-performance in- memory st...

Microsoft Research Intern

May 2013 - Aug 2013 · 4 mos·Redmond, WA

• Secure database-as-a-service in the cloud. Worked on the problem of securely querying large-scale data in the cloud. More specifically, our goal was to enable and optimize the performance of complex analytical workloads over large-scale encrypted data using hardware support. Extended Microsoft’s ...

Microsoft Research Intern

May 2012 - Aug 2012 · 4 mos·Redmond, WA

• Progressive big data analytics in the cloud. Designed and built a large-scale data-parallel progressive analytics system for Windows Azure, that uses streaming engines as progress-aware reducers to provide support for progressive SQL over big data in the cloud. The system models progress as a fir...

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Education (3)

University of Maryland

University of Maryland

2010 - 2015

Indian Institute of Technology, Madras

Indian Institute of Technology, Madras

2004 - 2006

M

Military College of Telecommunication Engineering, Jawaharlal Nehru University

1998 - 2001

Skills (26)

Apache SparkParallel Programming using MPI, OpenMPJavaMachine LearningDistributed SystemsCEclipseBig DataC++GraphLabLaTeXMySQLCloudMySQLAzureC#SQLTemporalApache SparkApache GiraphMatlabHadoopComputer ScienceMapReduceAlgorithmsPython
Publications (7)

NScale: Neighborhood-centric Large-Scale Graph Analytics in the Cloud.

VLDB Journal, Vol 25, Issue 2 · Apr 2, 2016

SWORD: Workload-Aware Data Placement and Replica Selection for Cloud Data Management Systems.

VLDB Journal (Special Issue on Data-Intensive Cloud Infrastructure), 2014. · Jun 27, 2014

Scalable Progressive Analytics on Big Data in the Cloud

International Conference on Very Large Databases(Vol. 6, Issue. 14) VLDB 2014 · Jun 1, 2013

Quill: Efficient, Transferable, and Rich Analytics at Scale

International Conference on Very Large Databases (VLDB) · Jan 1, 2016

NScaleSpark: Subgraph-centric Graph Analytics on Apache Spark

1st ACM SIGMOD Workshop on Network Data Analytics · Apr 8, 2016

NScale: Neighborhood-centric Analytics on Large Graphs

VLDB 2014 · Jun 1, 2014

SWORD: Scalable workload aware data placement for transactional workloads

16th International Conference on Extending Database Technology, EDBT 2013 · Mar 22, 2013

Languages (1)
English
Honors & Awards (3)

Dean's Fellowship, Department of Computer Science, University of Maryland, 2010-2012.

Issued by Department of Computer Science, University of Maryland at College Park. · Aug 2010

Associated with University of Maryland College Park

Jacob K. Goldhaber Travel award

Issued by University of Maryland · Mar 2013

Associated with University of Maryland College Park

International conference student support award

Issued by University of Maryland · Mar 2013

Associated with University of Maryland College Park

Frequently Asked Questions

What is Abdul Quamar's current role?
Abdul Quamar is currently working as Software Engineer at Google Data Infrastructure at Google.
Where did Abdul Quamar study?
Abdul Quamar studied Doctor of Philosophy (PhD), Computer Science at University of Maryland. They have 3 education entries on their profile.
What skills does Abdul Quamar have?
Abdul Quamar's top skills include Apache Spark, Parallel Programming using MPI, OpenMP, Java, Machine Learning, Distributed Systems. They have 26 skills listed on their profile.
Where is Abdul Quamar based?
Abdul Quamar is based in United States.

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