Shahriar Iqbal
Senior Software Engineer at Memwize, Inc.
Columbia, South Carolina, 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.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Applied Physics, Bachelor of Science - BS Applied Physics 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 (14)
causal-inference9
optimization9
multi-objective-optimization9
performance-testing9
causality9
performance-analysis9
performance-tuning9
machine-learning8
ai7
gitlab7
rails6
ruby6
deep-neural-networks4
gitlab-ce1
Programming languages (4)
Github contributions (5)
softsys4ai/unicorn
Apr 2019 - Mar 2022
A Framework for Reasoning about System Performance using Causal AI
Contributions:71 commits, 121 pushes, 1 tag in 2 years 11 months
aimachine-learningcausalitycausal-inferenceperformance-analysis
softsys4ai/FlexiBO
Aug 2019 - Apr 2022
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
Contributions:46 commits, 35 pushes in 2 years 8 months
deep-neural-networksmulti-objective-optimizationbayesian-optimization
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