About Ragib Hasan (ragibcs)
I am a Computer Science and Engineering undergraduate at Daffodil International University, Bangladesh, with hands-on experience across AI/ML, backend development, Linux systems, Docker, automated testing, and software engineering.
My technical interests span backend engineering, artificial intelligence, machine learning, Generative AI, LLMs, Linux systems, containerization, DevOps, and software testing.
I enjoy solving difficult programming problems and turning technical ideas into working systems. My projects include an online judge with isolated code execution, a static code analysis tool, a diffusion-based computer vision pipeline, and a machine-learning system for student performance prediction.
I also have hands-on experience with Linux, Docker, backend APIs, sandboxed execution, Git workflows, AI/LLM experimentation, and automated test-case evaluation.
AI & Machine Learning
Supervised & unsupervised ML, deep learning with PyTorch, NLP, model training, evaluation metrics, and Hugging Face deployment.
Backend & Systems
RESTful APIs with FastAPI, Express, NestJS, relational and NoSQL database modeling (PostgreSQL, Neon, MongoDB), caching with Redis.
Linux, Docker & DevOps
Linux administration, containerization, multi-stage Docker builds, cgroups & namespaces, CI/CD pipelines, and automated testing.
Competitive Programming Problem Solver
200+ SolvedSolved 200+ competitive programming challenges across Codeforces (@rhasan), LeetCode (@ragibhasan), CodeChef, Toph, and AtCoder.
Hugging Face Machine Learning Creator
2 Models, 3 SpacesPublished 2 deep learning models and created 3 interactive machine learning Spaces on the Hugging Face AI platform.
Active Kaggle Contributor
@ragibhasan2Participated in data science competitions, exploratory data analyses, and predictive modeling tasks.
AWS Cloud Foundations & AI Solutions
CertifiedCompleted comprehensive cloud engineering training covering AWS cloud infrastructure, security, and AI deployment architectures.