Available for Internship & Collaboration

Dhiman
Tarafdar

Full-Stack Developer  ·  ML Engineer  ·  CS Undergraduate

CSE undergraduate at HSTU · Passionate about crafting full-stack applications
and machine learning solutions that create real-world impact.

Dhiman Tarafdar
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Crafting Solutions at the
Frontier of Tech

I'm a Computer Science undergraduate at HSTU, Bangladesh, specializing in Full-Stack Web Development with the MERN stack and Machine Learning. With a strong grasp of Data Structures, Algorithms, and OOP, I build responsive web applications and intelligent data-driven systems.

On the ML side, I've mastered core algorithms — from Linear Regression and SVMs to ensemble methods like XGBoost and AdaBoost — and have built CNN-based deep learning projects using PyTorch, including exploring pretrained architectures like VGG16 and ResNet-50.

My long-term goal is to combine web development and AI to solve real-world problems, contribute to academic research, and eventually publish impactful journal papers or theses in applied ML and healthcare technology.

3.75 CGPA / 4.00
4+ Projects Built
15+ Technologies
Dumuria, Khulna, Bangladesh
HSTU — CSE (2023–2027)
Machine Learning Deep Learning Full-Stack Dev Research

Academic Background

Current

B.Sc. (Engineering) in Computer Science & Engineering

Hajee Mohammad Danesh Science and Technology University (HSTU)

January 2023 – June 2027 (Expected)

CGPA: 3.75 / 4.00
Completed

Higher Secondary Certificate (HSC)

Pollisree College, Dumuria, Khulna

June 2019 – December 2021

GPA: 5.00 / 5.00

Technical Expertise

Programming Languages

Python JavaScript C++ C Java

Frontend Development

HTML5 CSS3 React.js Next.js Tailwind CSS ShadCN

Backend & Database

Node.js Express.js MongoDB MySQL REST API Mongoose

Machine Learning & AI

Scikit-learn PyTorch NumPy Pandas XGBoost CNN / ANN VGG16 Matplotlib Seaborn

Deployment & Platforms

Git & GitHub Hugging Face Gradio Vercel Netlify Firebase Kaggle

Tools & Core Concepts

VS Code Figma Google Colab Jupyter DSA OOP DBMS

Featured Work

School of Super Kids
Full-Stack Web

School of Super Kids

An interactive online programming education platform designed for young learners in Bangladesh, featuring structured courses and an engaging learning interface.

Next.jsShadCNTailwind CSSExpress.jsMongoDB
Plant Disease Detection
Deep Learning

Plant Disease Detection (CNN)

A deep learning system that identifies plant diseases from leaf images using a CNN model trained on 43,000+ images, deployed with Gradio on Hugging Face Spaces.

PyTorchCNNGradioHugging FacePython
Movie Recommender System
Machine Learning

Movie Recommender System

A content-based recommendation engine that suggests five similar movies using NLP techniques — CountVectorizer and Cosine Similarity — on metadata including genres, cast, and crew.

PythonScikit-learnNLTKPandasStreamlit
Real Time Disaster Alert System
Full-Stack System

Real-Time Disaster Alert System

A full-stack platform that automates detection and dissemination of life-critical warnings for floods, cyclones, heatwaves, and earthquakes across Bangladesh, integrating live weather and seismic APIs with a Flutter mobile app.

Next.js 15Node.jsMySQLFlutterOpen-Meteo API

Get In Touch

I'm open to internships, research collaborations, freelance projects, and academic discussions.
Feel free to reach out — I'd love to connect.

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