Saugata Roy Arghya

Machine Learning & NLP Enthusiast

This page is a work in progress. More updates coming soon!

About Me

B.Sc. in Computer Science and Engineering at Khulna University of Engineering & Technology (KUET).
Passionate about machine learning, NLP research, and software development.
Experience with Python, Java, TensorFlow, PyTorch, and Flask.
Dedicated to exploring cutting-edge AI and NLP technologies to build impactful solutions.

Projects

SummarUP

Developed a website that summarizes YouTube videos using Flask.
Utilized PEGASUS with HuggingFace Inference Library for NLP summarization.
Reduced video watching time by up to 70%, increasing user engagement.
Technologies: Python, Flask, MySQL, PEGASUS (NLP model).

View on GitHub

Cardiac Recorder (Android App)

Developed an Android app to record and manage cardiac health data.
Used Java and Firebase for backend and data storage.
Incorporated Git, GitHub, and Travis CI for version control and continuous integration.

View on GitHub

Library Management System

Developed a library management system using C++ and OOP concepts.
Incorporated classes, objects, inheritance, and polymorphism to manage library operations.
Technologies: C++, OOP principles.

View on GitHub

MoodRhythm (iOS App)

Developed an iOS app that suggests music based on real-time weather data.
Implemented the app using Swift and Storyboard with a weather API integration.
Technologies: Swift, Storyboard, Weather API.

View on GitHub

Skills

Programming Languages: Python, Java, C++, JavaScript
Machine Learning: Supervised/Unsupervised Learning, NLP, Model Optimization
Frameworks & Tools: TensorFlow, PyTorch, Flask, HuggingFace
Database Management: MySQL, Firebase, Oracle SQL
Version Control & CI: Git, GitHub, Travis CI
Other Tools: Docker, Jupyter Notebooks, PL/SQL

Research Interests

Natural Language Processing (NLP) with a focus on language models, text generation, and debiasing frameworks.
Exploring fairness and bias mitigation in NLP, particularly in low-resource languages like Bangla.
Applying machine learning techniques to improve human-computer interaction and automation systems.
Future research goals include exploring the intersection of AI ethics, NLP, and deep learning advancements.

Contact

Let's connect! Reach out via email or find me on LinkedIn and GitHub:

saugataroyarghya@gmail.com

LinkedIn | GitHub