Senior software engineer specializing in backend systems, distributed data platforms, cloud infrastructure, and applied machine learning research.
Software Engineer — Backend & Distributed Systems, Applied ML Researcher Houston, TX, USA
Email · Google Scholar · GitHub · LinkedIn · Hugging Face
I’m a software engineer with 10+ years of experience building distributed backend systems, data platforms, and cloud-native infrastructure for logistics and technology products. My work includes event-driven architectures, Kafka and CDC pipelines, scalable APIs, database systems, Kubernetes, production reliability, and technical leadership.
Alongside my full-time engineering work, I conduct and collaborate on applied AI research spanning continual learning, model adaptation, and evaluation, multilingual NLP, medical AI, and trustworthy machine learning.
I earned an M.S. in Computer Science from the University of Houston, where I worked on GPU-accelerated medical-imaging and applied AI systems. Alongside my full-time engineering work, I independently research continual learning and collaborate on applied AI/ML studies.
Application Developer
Backend and Distributed Systems Focus
Crane Worldwide Logistics · Houston, TX · Jul 2023 — Present
Lead Software Engineer Truck Lagbe Ltd. · Dhaka, Bangladesh · Sep 2019 — Jul 2021
Graduate Research Assistant University of Houston (Das Lab & CBL) · 2021 — 2023
Event-Driven Logistics Data Platform
Continual Learning for Adaptive AI Systems
COVID-19 Vaccine Misinformation NLP
Residual Stream Rebalancing: Training-Free Hallucination Mitigation in Vision-Language Models
Niamul Hassan Samin, Md Hasibul Amin, et al.
WACV 2027, Under Review
[OpenReview]
When Detector-Based Grounding Metrics Measure Vocabulary: A Cautionary Audit of Entity Claims in Video-QA Reasoning Traces
Md Ashikur Rahman, Md Hasibul Amin, et al.
WACV 2027, Under Review
[OpenReview]
Evaluating Parameter-Efficient Fine-Tuning of Open-Weight LLMs for Medical Question Answering
Zidan A.H., Md Hasibul Amin, et al.
18th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2026)
[IEEE Xplore]
Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study
Uddin M.S., Md Hasibul Amin, et al.
18th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2026)
[IEEE Xplore]
Boundary-Aware Deep Learning Framework for Breast Cancer Image Segmentation: Enhancing Tumor Delineation Through BIOU-Driven Evaluation
Ahmed T., Md Hasibul Amin, et al.
18th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2026)
[IEEE Xplore]
Continual Learning for Adaptive AI Systems
Md Hasibul Amin, Tamzid Tanvi Alam
arXiv preprint, arXiv:2510.07648
This arXiv version is the preprint; a revised negative-results analysis and reproducibility implementation are available in the accompanying GitHub repository.
[arXiv] · [GitHub]
Detecting Conspiracy Theory Against COVID-19 Vaccines
Md Hasibul Amin, et al.
arXiv preprint, arXiv:2211.13003 (Cited)
[arXiv] · [dataset]
Master of Science in Computer Science University of Houston · 2021 — 2023 Research focus: GPU-accelerated medical imaging and applied AI systems
Bachelor of Science in Computer Science and Engineering American International University-Bangladesh (AIUB) · 2012 — 2015
Email: hasibulamin.cse@gmail.com Location: Houston, TX, USA
Open to discussions on continual learning research, LLM adaptation, medical AI applications, and ML engineering collaborations.
Last updated: July 2026