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AI Researcher × Engineer — Portfolio ’26

I’m a Researcher

A note from Shakib

“The bottleneck in applied AI is rarely the architecture — it’s the data. So I build both: open datasets the community can trust, and the software that puts them to work.”

Computer Science & Engineering graduate (3.92 CGPA, Daffodil International University). First-author publication in Elsevier’s Data in Brief. Now heading toward an MSc — and eventually a PhD — in AI and machine learning.

Career numbers — so far

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Publications

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Projects Shipped

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Technologies

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Research Areas

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Years Coding

00 — 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.

01 — Research

Computer vision and machine learning for high-stakes, data-scarce domains. Robust models, honest evaluation, and datasets released in the open.

Full research statement
01

Machine Learning

Designing and training models that learn from data — from classical methods to modern deep architectures.

02

Computer Vision

Teaching machines to interpret images — classification, detection and segmentation for real-world problems.

03

Healthcare AI

Applying machine learning to medical and health data to support diagnosis and decision-making.

04

Agricultural AI

Precision agriculture through computer vision — crop-disease detection and yield optimization.

05

Human-Computer Interaction

Crafting interfaces and interactions that are intuitive, accessible and genuinely human-centered.

06

Data Science

Turning raw data into insight through statistical analysis, visualization and reproducible pipelines.

02 — Engineering

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

All projects
01

DIU Leaderboard

A competitive programming leaderboard aggregating ratings across judges for university students.

Next.js · TypeScript · PostgreSQL · Prisma

02

DIU BusBuddy

Real-time campus bus tracking and scheduling app that removes the guesswork from daily commutes.

React Native · Node.js · Express · MongoDB

03

Prism

An interactive data-visualization toolkit that turns complex datasets into explorable visual narratives.

React · D3.js · TypeScript · Python

04 — Toolkit

Languages & Backend
AI / ML & Research
Frontend & Cloud

03 — The journey

Student

B.Sc. in Computer Science & Engineering

Graduated from Daffodil International University with a 3.92 CGPA, building strong foundations in algorithms, software engineering and the mathematics behind machine learning.

2022 — 2026

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

Developer

Full-Stack Software Builder

Designed and shipped end-to-end platforms — including DIU Leaderboard and BusBuddy — adopted by the university community, turning real problems into production software.

2023 — Present

Future Academic

MSc → PhD in AI & Machine Learning

Pursuing an MSc in Computer Science focused on AI and machine learning, with a PhD ambition and a research direction centred on computer vision for agriculture and healthcare.

Next

The next chapter

MSc, PhD, and research that ships. The best milestones aren’t on this wall yet.

05 — Contact

Open to research collaboration, MSc supervision and engineering work — or use the contact form.