Student
B.Sc. in Computer Science & Engineering
Graduated from Daffodil International University with a 3.92 / 4.00 CGPA, building strong foundations in algorithms, software engineering, mobile development and applied machine learning.
2021 — 2026

A note from Shakib
01 — A note from Shakib
Software engineer and AI researcher — Computer Science & Engineering graduate (3.92 CGPA, Daffodil International University) with a first-author publication in Elsevier’s Data in Brief. Now a Research Assistant on an ADB-funded project at DIU building AI tools to identify counterfeit medicine, while advancing research in trustworthy multimodal AI and shipping production software.


SH — Portfolio ’26
02 — Career numbers — so far
0
Peer-Reviewed Publication
0+
Software & AI Projects
0
Dataset Images Published
0+
Years in Industry
0.00/ 4.00
Undergraduate CGPA
0
Core Focus Areas
03 — Mission
I build intelligent systems that turn messy, real-world data into reliable decisions — and I publish the datasets and methods so others can build on them too.
04 — Research
Computer vision and machine learning for high-stakes, data-scarce domains. Robust models, honest evaluation, and datasets released in the open.
05 — Featured publication — first author
Data in Brief (Elsevier), Vol. 59, 111353 · Elsevier · 2025
An openly available, six-class benchmark of 4,089 labelled eggplant-leaf images — filling a gap in agricultural imagery and enabling reproducible research in automated plant-disease detection for precision farming.
4,089
Labelled images
6
Disease classes
Open
Access dataset
DOI 10.1016/j.dib.2025.111353
06 — Engineering
Research is half the story. These are shipped, production systems — platforms adopted by a university community and tools used daily.
07 — Toolkit
Mobile & Cross-Platform
AI & Machine Learning
Web, Backend & Tools
08 — The journey
Scroll to travel →
09 — Contact
contactshakibhere@gmail.com
Open to research collaboration, graduate opportunities and engineering work — or use the contact form.