Nau Sin
@nausin
Computer science graduate focused on web development, AI research, and full-stack problem solving.
What I'm looking for
I am a B.Sc. Computer Science & Engineering graduate from Daffodil International University with strong academics and hands-on experience in web development and AI research.
I worked as a Web Development Intern at OrdersPlus, building CRUD features with Laravel and frontend interfaces using React, Tailwind CSS, JavaScript and Axios, and was offered a permanent role after the internship.
As a Research Lab Member at the Health Informatics Research Lab, I led and contributed to projects in image processing, deep learning, explainable AI and Graph Neural Networks, including Dual-X-GNN and a lightweight segmentation model LDSeg-DeepLabV3+ with strong reported metrics.
I bring technical fluency in C, Java, Python, web technologies, Linux tools, and collaboration platforms, combined with leadership, communication and problem-solving skills to deliver production-ready applications and publishable research.
Experience
Work history, roles, and key accomplishments
Research Lab Member
Health Informatics Research Lab
Jun 2023 - Present (2 years 4 months)
Conducted research on image data and computer vision topics including segmentation, detection, classification, deep learning, and Graph Neural Networks to advance explainable medical imaging models.
Web Development Intern
OrdersPlus
May 2025 - Jul 2025 (2 months)
Developed and maintained CRUD functionality using Laravel and built responsive frontends with HTML, Tailwind CSS, JavaScript and React; integrated APIs and collaborated with the team, resulting in an offer for a permanent role.
Education
Degrees, certifications, and relevant coursework
Daffodil International University
Bachelor of Science, Computer Science & Engineering
2020 - 2024
Grade: 3.74/4.00
Activities and societies: Research Lab Member at Health Informatics Research Lab; web development projects and internships; published research on GNNs and segmentation models.
Completed a B.Sc. in Computer Science & Engineering with a CGPA of 3.74/4.00, focusing on web development, machine learning, and computer vision.
Muminunnesa Government Women's College, Mymensingh
Higher Secondary Certificate, Science
Grade: 4.42/5.00
Completed Higher Secondary Certificate (Science) with a GPA of 4.42/5.00.
Cantonment Public School and College, Mymensingh
Secondary School Certificate, Science
Grade: 5.00/5.00
Completed Secondary School Certificate (Science) with a GPA of 5.00/5.00.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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