Shahriar Iqbal
Staff R&D Engineer at Synopsys Inc
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShahriar Iqbal is a Staff R&D Engineer with a decade of experience bridging academic research and production systems, currently optimizing distributed systems and neural architecture/hyperparameter search at Synopsys in Sunnyvale. He holds a PhD pursuit in Computer Science and Engineering and has a track record of building performance-debugging, cost-aware multi-objective optimization tools that translate staging insights to robust production behavior under distribution shift. His background spans systems-level monitoring and analytics at HPE to robotics learning and motion planning research, giving him a rare combination of low-level systems expertise and ML-driven optimization. Notably, he developed FlexiBO for Pareto-efficient DNN deployment on resource-constrained edge devices and has applied graphical causal models and ranked counterfactual interventions to fix non-functional faults.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Applied Physics Electronics and Communication Engineering, Bachelor of Science - BS Applied Physics Electronics and Communication Engineering at University of DhakaDoctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at University of South CarolinaMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of Central Florida
Bangla, English
Github Skills (6)
gitlab8
ruby7
rails7
gitlab-api6
gitea3
gitlab-ce2
Programming languages (4)
Github contributions (5)
softsys4ai/FlexiBO
Aug 2019 - Apr 2022
Contributions:46 commits, 35 pushes in 2 years 8 months
softsys4ai/unicorn
Apr 2019 - Mar 2022
Contributions:71 commits, 121 pushes, 1 tag in 2 years 11 months
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