Skip to content
Loading portfolio

Shakib Howlader

Shakib Howlader

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.

Shakib Howlader

02 — Career numbers — so far

01

0

Peer-Reviewed Publication

02

0+

Software & AI Projects

03

0

Dataset Images Published

04

0+

Years in Industry

05

0.00/ 4.00

Undergraduate CGPA

06

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.

06 — Engineering

Research is half the story. These are shipped, production systems — platforms adopted by a university community and tools used daily.

All projects

07 — Toolkit

Mobile & Cross-Platform

AI & Machine Learning

Web, Backend & Tools

08 — The journey

01

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

02

Researcher

First-Author Publication, Data in Brief

Led the construction and open release of a 4,089-image, six-class eggplant-leaf-disease dataset — peer-reviewed and published in Elsevier’s Data in Brief, contributing an open benchmark to agricultural AI.

2025

03Now

Engineer

Software Engineer, Techjays → Flexloop

From a production Flutter internship at Techjays — recognized for ownership and contribution — to professional engineering at Flexloop, shipping Flutter features, API integrations and AI-assisted functionality.

2025 — Present

04Now

Research Assistant

Research Assistant, ICSETEP RDG at DIU

Appointed under the ICSETEP Research and Development Grant to build AI-based, post-quantum-cryptography-enabled tools that identify counterfeit medicine in Bangladesh — funded by the Asian Development Bank and the Government of Bangladesh.

2026 — Present

05Up next

Future Academic

Trustworthy Multimodal AI Research

Working toward advanced research in reliable multimodal machine learning — clinical-context missingness, uncertainty, selective prediction and cross-hospital distribution shift — for AI that operates responsibly in high-stakes environments.

Next

The next chapter

Trustworthy multimodal AI, and research that ships. The best milestones aren’t on this wall yet.

09 — Contact

contactshakibhere@gmail.com

Open to research collaboration, graduate opportunities and engineering work — or use the contact form.

Shakib Howlader — Software Engineer & AI Researcher