Asifur Rahman

Doctoral Student at UNSW

Canberra, Australia
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Summary

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Senior
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Asifur Rahman is a doctoral researcher and software engineer with 10 years of experience building robust, real-time AI systems and machine learning pipelines across academia and industry. He has led test strategy and CI/CD for embedded Driver Monitoring Systems at Seeing Machines, developed automated semiconductor test frameworks at Qorvo, and produced published safe RL research (AdvExRL) during an NSF-funded project at Wake Forest. Comfortable in C/C++ and Python, he bridges low-level production test engineering with scalable ML experimentation using PyTorch, RLlib, RayTune and HPC deployments. Currently researching memory-efficient interpretable foundational models and regulation-aware orchestration of LLMs (RAIL), he combines rigorous reproducibility practices with a knack for process improvements that reduce false failures and speed releases. Based in Canberra, he also brings academic teaching and mentorship experience from RUET, blending strong pedagogical clarity with hands-on systems delivery.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor’s Degree, Computer Science And Engineering, Bachelor’s Degree, Computer Science And Engineering at Rajshahi University of Engineering & Technology
bookMaster of Science - MS , Computer Science, Master of Science - MS , Computer Science at Wake Forest University
languagesEnglish, Bangla
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Stackoverflow

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17reputation
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1answer
0questions
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Github Skills (2)

github6
markdown6

Programming languages (1)

Python

Github contributions (5)

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Contributions:1 release, 12 pushes, 3 branches in 4 years 3 months
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Contributions:258 pushes in 1 year 5 months
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Asifur Rahman - Doctoral Student at UNSW