Tashin Mahmud Khan

SOFTWARE DEVELOPER / AI ENGINEER

Computer Science graduate with a strong foundation in AI and machine learning. Passionate about applying data-driven solutions to real-world problems. Seeking an opportunity to grow as an AI/ML engineer. Also interested in web development and have worked on a number of WordPress websites.

Get In Touch

Let's connect and build something amazing together!

+8801816209396

tashinmahmud.official@gmail.com

Dhaka, Bangladesh

github.com/TashinMahmud

linkedin.com/in/tashin-mahmud-khan

About Me

I am a Computer Science and Engineering graduate from North South University, Bangladesh, with a strong foundation in artificial intelligence and machine learning. My academic journey has been driven by a passion for applying data-driven solutions to real-world problems.

My interests span across AI, Machine Learning, and Full-Stack Web Development. I enjoy working on projects that combine these domains, from developing intelligent web applications to building machine learning models for practical use cases.

Beyond technical skills, I value teamwork, problem-solving, and effective communication. I believe in continuous learning and staying updated with the latest technologies in the rapidly evolving field of computer science.

My Projects

Research Project & Thesis

Bengali Text Summarizer

A machine learning project utilizing Google's mT5 model to summarize Bangla text efficiently. This project combines cutting-edge NLP techniques and pre-trained transformer models to generate concise, meaningful summaries of Bangla text. This is also my B.Sc. thesis project.

PythonmT5 ModelNLPMachine LearningBengali Language ProcessingTransformers

Code

Research Project

Autonomous Driving ML Model

A machine learning model for autonomous driving, enabling the car to navigate without human intervention. This project showcases my skills in computer vision and deep learning for real-world applications.

PythonJupyter NotebookComputer VisionDeep LearningMachine Learning

Code

Research Project

Leaf Disease Detection using Few-Shot Learning

Advanced plant leaf disease detection system using Few-Shot Learning (FSL) techniques. Implements Prototypical Networks with EfficientNet and ResNet18 backbones for agricultural disease classification with minimal training data. Features 5-way 5-shot learning, comprehensive dataset support (PlantVillage), and real-time disease classification capabilities.

PythonPyTorchFew-Shot LearningPrototypical NetworksEfficientNetResNet18Computer VisionAgricultural AI

Code

Web Application

PharmaQuest

An interactive web game featuring medicine-related quizzes for different countries on a world map. Players unlock new countries by scoring 80% or higher, with progress saved in the browser. Features a modern, lively UI with interactive world map navigation.

TypeScriptReactTailwindCSSInteractive MapsQuiz SystemLocal Storage

Code

Mobile App

FlowZen - Advanced Android Workflow Automation

A comprehensive Android application that integrates multiple automation capabilities, workflow management, and smart features using on-device AI models. Features include AI assistant, workflow automation, email summarization, Telegram integration, CamFlow (AI image analysis), maps & geofencing, and Gmail integration.

KotlinAndroid Jetpack ComposeTensorFlow LiteAI/MLWorkflow AutomationTelegram Bot APIGoogle Maps APIGmail API

Code

Web Development