Shehzad Qureshi
Principal Software Engineer at Stealth Startup
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolShehzad Qureshi is a Principal Software Engineer based in Seattle with a decade-plus career building scalable, distributed systems and production ML/data platforms. He has driven technical strategy and Full CD practices at AWS Glue ML and led machine-learning, data preparation, and deduplication efforts on Spark, then moved into senior/principal roles at stealth startups to tackle new challenges. Known for force-multiplying teams through strong software foundations, automation, and mentorship, he combines hands-on system design with operational excellence. His background spans embedded real-time systems and defense integrations to large-scale cloud services, reflecting unusual breadth from low-level C and DSP work to cloud-native ML pipelines. A Johns Hopkins MS graduate and former US Army combat engineer, he brings discipline and systems thinking to complex engineering problems. Reach out if you need an experienced leader who pairs pragmatic architecture with a culture-first approach to shipping reliable, automated systems.
3 years of coding experience
21 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Engineering, Bachelor of Science (B.Sc.) Computer Engineering at Clemson UniversityJohns Hopkins University
Github Skills (9)
unit-testing10
datasets10
scala9
data-quality9
spark9
apache-spark8
apache8
api6
python5
Programming languages (2)
Github contributions (2)
awslabs/deequ
Dec 2022 - Feb 2023
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Contributions:1 release, 7 reviews, 2 PRs in 2 months
data-qualityapacheunitsparkunit-tests
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