Sakib Rahman
Postdoctoral Research Fellow at Brookhaven National Laboratory
Winnipeg, Manitoba, United States
Summary
👤
Senior🎓
Top SchoolSakib Rahman is a postdoctoral researcher and software engineer with 11 years of experience building large-scale simulations and data analysis pipelines for particle physics experiments. He specializes in GPU-accelerated optical and electromagnetic simulations, high-throughput distributed productions (running ~150 CPU years and ~150 TB monthly), and integrating workload systems like PanDA. Comfortable in C++, Python and MATLAB, he has applied ML and geometric deep learning to detector optimization and track reconstruction while securing HPC resources through successful proposals. Beyond technical delivery, he brings leadership experience from student government and mentoring, and is actively exploring tech transfer and commercialization of GPU-based optical tracking tools. Fluent in English and Bangla, he combines deep domain physics knowledge with production-grade software and systems engineering.
11 years of coding experience
10 years of employment as a software developer
Joint Honours in Physics and Mathematics, Joint Honours in Physics and Mathematics at University of Manitoba
Github Skills (55)
simulation10
python10
simulations10
windows10
linux10
hpc10
epic10
parity10
physics10
macos10
configurations10
package-manager10
scientific-computing10
geometry9
particle9
Programming languages (11)
Github contributions (5)
eic/job_submission_condor
May 2023 - Feb 2025
Out-of-container supports for full simulation campaigns on condor-based systems.
Contributions:3 reviews, 59 PRs, 70 pushes in 1 year 9 months
rahmans1/acts
Feb 2022 - Mar 2023
Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++
Contributions:4 PRs, 88 pushes, 6 branches in 1 year 1 month
physicsparticlereconstructionindependenthigh-energy-physics
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