I'm a Computer Science & Engineering student at Bangladesh University of Business & Technology (BUBT) with a strong interest in Artificial Intelligence, Machine Learning, and intelligent software systems.
My primary focus is on Generative AI, Large Language Models (LLMs), Natural Language Processing, Deep Learning, and AI Agents. I enjoy turning AI concepts into practical, data-driven applications that solve real-world problems.
- Aspiring AI Engineer focused on building intelligent systems
- Python developer with a focus on AI/ML engineering
- Exploring Generative AI, LLMs, NLP, and Transformers
- Working with Machine Learning & Deep Learning
- Exploring RAG, Embeddings, and Vector Databases
- Learning AI Agents & Agentic AI systems
- Building AI applications and APIs with FastAPI
- Strong foundation in Frontend & Full-Stack Development
- Combining AI + Software Engineering to build practical solutions
- Continuously learning, experimenting, and building Why this is better
Core Technologies:
Python · Scikit-learn · TensorFlow · PyTorch · Machine Learning · Deep Learning
AI & LLM:
Generative AI · LLMs · NLP · Transformers · RAG · AI Agents · Agentic AI
AI Engineering:
FastAPI · REST APIs · AI APIs · Model Integration · LLM Applications · Docker
Python · C · C++ · Java · JavaScript
My previous experience in web development gives me a strong software engineering foundation for building AI-powered applications from backend services to user interfaces.
React.js · JavaScript · TailwindCSS · Node.js · Express.js · MongoDB · Firebase
- Generative AI & Large Language Models
- Natural Language Processing & Transformers
- Deep Learning & Neural Networks
- Computer Vision & AI for Image Analysis
- Retrieval-Augmented Generation (RAG)
- Embeddings & Vector Databases
- AI Agents & Agentic Systems
- Machine Learning & Data-Driven Applications
- AI Engineering, APIs & Model Deployment
A selection of projects showcasing my experience in AI, Machine Learning, and Full-Stack Development.
Smart Agriculture • IoT • Machine Learning
An intelligent agriculture system that combines IoT, cloud computing, and machine learning to provide real-time crop recommendations based on environmental and soil conditions.
Highlights
- Real-time temperature, humidity, soil pH, and rainfall monitoring
- IoT data transmission and storage using Firebase Realtime Database
- Comparison of Decision Tree, Random Forest, SVM, Gradient Boosting, and XGBoost
- Model evaluation using Accuracy, Precision, Recall, and F1-Score
- Mobile application for sensor monitoring, crop recommendations, and prediction confidence
🛠️ Tech Stack
Python Scikit-learn XGBoost Machine Learning IoT ESP32/NodeMCU Firebase Mobile App
Machine Learning • Fraud Detection • Data Analysis
A machine learning project focused on identifying fraudulent credit card transactions through data preprocessing, feature analysis, model training, and performance evaluation.
Highlights
- Detects potentially fraudulent transaction patterns
- Applies machine learning for binary fraud classification
- Addresses the challenge of highly imbalanced transaction data
- Evaluates models using Accuracy, Precision, Recall, and F1-Score
- Covers preprocessing, feature analysis, training, and model evaluation
🛠️ Tech Stack
Python Pandas NumPy Scikit-learn Machine Learning Matplotlib Seaborn
Full-Stack Web Development • Storytelling Platform
A creative storytelling platform designed for readers and writers to create, discover, publish, and share stories.
Highlights
- Write, publish, and share stories
- Explore stories across different genres
- Engage through comments and reading interactions
- Eye-friendly reading experience
🛠️ Tech Stack
React.js TailwindCSS Node.js Express.js MongoDB Vercel
Thank you for visiting my GitHub profile! Feel free to explore, connect, and collaborate.
🕊️ I stand with civilians suffering from war, occupation, and violence around the world.
✨ Justice, peace, freedom, and human dignity for all. ✨