Hi, I am Rabiul

I hold an MSc in Data Science with distinction from the University of South Wales, UK, and have over four years of experience in software engineering. My work sits at the intersection of machine learning, multimodal data analysis, and real-world applications in health and environmental systems.

I have published research with over 200 citations and presented at international conferences, with experience spanning computer vision, geospatial data, and biomedical signal analysis. I am particularly interested in developing machine learning models that integrate complex datasets and generate interpretable insights.

Outside of research, I enjoy travelling and exploring new cultures, which helps me approach problems with a broader and more adaptive perspective.

Skills & Interest

RESEARCH INTEREST

Machine Learning | Deep Learning

Mobile Applications | Computer human Interaction

Computer Vision

Signal Processing | Biomedical data Processing
3d Data | LidAR | Point Cloud

SKILLS

Languages

Python, Kotlin, Java, R

Frameworks & Architectures

MVVM, MVP, Flower, Flask, FastAPI

Databases

NoSQL (Firebase Realtime DB, Cloud Firestore), MySQL, SQLite

Machine Learning & Data Science

Regression, Random Forest, SVR, K-Means, DBSCAN, Mini Batch K-Means, Deep Learning (PyTorch, TensorFlow, Keras, TFLite), STOMP, Socket.io

Data Analysis & Visualization

pandas, NumPy, scikit-learn, matplotlib, seaborn, ggplot2, magrittr

Time-Series & Forecasting

SARIMA, statistical inference, trend prediction

Database & Data Engineering

ETL pipeline design, data cleaning, preprocessing, integration of structured and unstructured datasets

Cloud & Deployment

AWS (EC2, S3, Lambda) for scalable analytics, API integration via FastAPI and Flask

Tools & APIs

Google Maps API, Google Location API, Google Directions API, Firebase, GCM, FCM, One Single API, MS Office 365 Calendar API, Sensor Manager, Camera API