Md. Asifur Rahman
Winston Salem, NC 27106, USA, Bangladesh
Summary
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SeniorAsifur 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.
10 years of coding experience
Stackoverflow
17reputation
0reached
1answer
0questions
Github Skills (3)
github6
markdown6
reinforcement-learning3
Programming languages (1)
Github contributions (5)
asifurrahman1/SpokenEnglishIOSv2
Nov 2016 - Feb 2021
Contributions:1 release, 12 pushes, 3 branches in 4 years 3 months
asifurrahman1/AdvEx-RL
Oct 2022 - Dec 2025
Adversarial Behavioral Exploration for Safe Reinforcement Learning
Contributions:2 PRs, 63 pushes, 1 branch in 3 years 1 month
reinforcement-learning
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