Shahriar Iqbal

Staff R&D Engineer at Synopsys

Role
Staff R & d Engineer at Synopsys Inc
Location
Sunnyvale, CA, US
LinkedIn followers
500 followers

About Shahriar Iqbal

I have a multidisciplinary background spanning academic research and industrial engineering, with extensive experience in designing and deploying machine learning systems. My work ranges from developing efficient algorithms to building scalable, production-grade solutions. I am particularly motivated to operate at the intersection of research and real-world impact, translating theoretical advances into practical systems. My core interests lie in OS kernel development, compiler design, computer architecture (CPU, GPU, accelerator), performance profiling, optimization and debugging, as well as causal inference.

Experience

  1. Staff R & d Engineer

    Synopsys Inc

    Feb 2023 — Present · Sunnyvale, CA, US

    Demonstrated expertise in performance optimization of distributed systems, as well as hyperparameter optimization and neural architecture search for mask modeling frameworks. Developed a comprehensive profiling pipeline to systematically analyze system performance, identify critical bottlenecks, and uncover GPU optimization opportunities, resulting in improved efficiency and resource utilization.

Education

  • University of Central Florida

    Master of Science - MS, Electrical and Computer Engineering

  • University of Dhaka

    Bachelor of Science - BS, Applied Physics, Electronics and Communication Engineering

  • University of South Carolina

    Doctor of Philosophy - PhD, Computer Science and Engineering

Skills

  • C++
  • Python
  • C
  • Cuda
  • Opencl
  • Scala
  • Cmake
  • Java
  • R
  • Shell Scripting
  • Cassandra
  • Elasticsearch
  • Docker
  • Apache Spark
  • Cql
  • Openstack
  • Opencv
  • Ros
  • Pcl
  • Json
  • Linux Kernel
  • Machine Learning
  • Artificial Intelligence
  • Robotics
  • Matlab
  • Graph Databases
  • Rabbitmq
  • Deep Learning
  • Object-Oriented Programming (Oop)
  • Git
  • Data Analysis
  • Hadoop
  • Data Mining
  • High Performance Computing (Hpc)
  • Algorithms
  • Databases

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Shahriar Iqbal — Staff R & d Engineer at Synopsys Inc in Sunnyvale, CA, US | Unifers