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๐Ÿ’ป Software Engineerย |ย Full-Stack Developerย |ย Cloud & DevOps Enthusiastย |ย Interested in Research Centered Around AI & Computer Vision


โœจ Passionate about building scalable systems, designing AI-driven solutions,
and pushing the boundaries of software engineering.
Currently working as a Software Engineer Trainee at Intelligent Machines Ltd.
and pursuing a B.Sc. in Software Engineering at the Islamic University of Technology (IUT).

๐Ÿš€ I thrive on turning complex problems into elegant, production-ready solutions โ€”
from backend engineering and cloud-native infrastructure
to computer vision research and intelligent automation.


๐ŸŒ Connect with Me

LinkedIn Gmail Google Scholar

๐Ÿ’ก About Me

  • ๐Ÿ”ญ Currently building cloud-native applications and AI-powered analytics at Intelligent Machines Ltd.
  • ๐ŸŽ“ Pursuing a B.Sc. in Software Engineering at IUT.
  • ๐Ÿง  Strong interest in Machine Learning, Computer Vision, and AI-driven automation.
  • ๐Ÿ“ฑ Experienced in Mobile Application Development with Flutter and Dart.
  • ๐Ÿ† Hackathon Winner: BUET CSE Fest (DevOps), DU ITverse (CTF), MIST ICT Innovation Fest.
  • ๐Ÿ’ป Background in backend engineering, DevOps pipelines, and applied research.
  • ๐ŸŒฑ Exploring distributed systems, scalable architectures, and intelligent automation.

๐Ÿ’ผ Technical Skills

๐Ÿ–ฅ๏ธ Programming Languages

Python JavaScript TypeScript Java C# C++ C PHP

๐ŸŒ Web Development

React Next.js Express.js Node.js Django FastAPI Spring Boot .NET

๐Ÿค– AI, Machine Learning & Computer Vision

PyTorch scikit-learn OpenCV Hugging Face Pandas NumPy Matplotlib

๐Ÿ“ฑ Mobile Development

Flutter Dart

๐Ÿ—„๏ธ Databases & Storage

MySQL PostgreSQL MongoDB Apache Cassandra Oracle

โ˜๏ธ Cloud & DevOps

AWS GCP Kubernetes Docker Terraform GitHub Actions Prometheus Grafana


๐Ÿ”ฌ Research

  • Multi-Organ Segmentation โ€“ Transformer-based U-Net for organ/tumor segmentation (MSD dataset, PyTorch).
  • NS3 Code Generation โ€“ Hierarchical context prompting for LLM-driven network simulation code generation.
  • BERT Spam Filtering โ€“ Optimized BERT-based spam classifier for efficient edge deployment.

๐Ÿ“Š GitHub Insights

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โ€œSimplicity is the soul of efficiency.โ€ โ€“ Austin Freeman
โ€œCode is like humor. When you have to explain it, itโ€™s bad.โ€

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