Muhammad Gulzar

Amazon Scholar at Virginia Tech

Blacksburg, Virginia, United States
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Summary

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Muhammad Gulzar is an assistant professor of computer science at Virginia Tech and an Amazon Scholar who blends academic research with practical cloud experience across 11 years in software engineering and data systems. His Ph.D. work at UCLA—supported by a Google Ph.D. Fellowship—produced scalable automated fault localization and testing methods that bridge software engineering and big data, with publications in VLDB, ICSE, and FSE. He has industry experience from multiple Google internships and ongoing collaboration with AWS, bringing production-oriented perspectives to research. Muhammad’s background spans teaching, research labs, and early startup product work, giving him a rare mix of pedagogical clarity and delivery focus. He frequently translates theoretical advances into tools and scalable evaluations for real-world data-centric systems. Based in Blacksburg, VA, he is known for turning rigorous formal methods into practical debugging and testing solutions for big data developers.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Lahore University of Management Sciences
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Los Angeles
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Stackoverflow

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Github Skills (4)

ranking9
science8
react7
computer-science7

Programming languages (2)

ScalaPython

Github contributions (5)

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maligulzar/BigTest

Jul 2017 - Aug 2022

Contributions:51 commits, 18 pushes in 5 years 1 month
maligulzar/cs5614-hw

Feb 2021 - Feb 2025

Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
Contributions:20 pushes in 4 years
pythondata-sciencejupyter-notebookspark-mldocker
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Muhammad Gulzar - Amazon Scholar at Virginia Tech