I’m Tharusha Rasath

I’m a passionate computer science undergraduate student in bachelor of computer science (NSBM Green University – UGC) with a strong interest in AI, Machine Learning and software engineering. I enjoy building real -world solutions, exploring new technologies and continuously improving my skills through hands-on projects and learning.

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Machine Learning & AI

Keep up with the most recent developments in machine learning and artificial intelligence. Learn useful tips, articles, and project ideas to hone your abilities in this innovative field.

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Research Paper Reviews

Critical, well-structured reviews of key AI/ML research papers, highlighting contributions, strengths, limitations, and real-world applicability across industries.

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Full Stack Development

Discover how to create fluid and dynamic web apps. Our blog explores front-end and back-end development, going over key tools, frameworks, and full-stack development methodologies

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Software Engineering Essentials

Unlock your potential with articles on mindset, focus, and resilience. Discover strategies to boost your personal and professional growth, helping you succeed in the ever-evolving tech landscape.

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Keep up with the newest developments in the tech world,, and upcoming technologies to stay ahead of the curve. Examine the upcoming trends in cloud computing, blockchain, AI, and other fields.

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Mindset & Personal Growth

Learn the principles of software engineering. Our blog provides helpful advice for creating high-quality software, covering everything from design principles to testing and agile processes.

Featured Projects

Visual Portfolio, Posts & Image Gallery for WordPress

End-to-End MLOps Pipeline for YouTube Comment Sentiment Analysis

Developed an end-to-end MLOps pipeline and custom Chrome Extension for real-time YouTube sentiment analysis, achieving 79.12% accuracy using a LightGBM model deployed on AWS EC2 with automated CI/CD.
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MedRagnosis – RAG-Enhanced Medical Diagnosis Platform

“A secure, RAG-driven medical diagnosis engine featuring hybrid OCR document parsing, longitudinal trend analysis, and a doctor verification loop, powered by LLaMA 3.3, Pinecone, and FastAPI.”
Click For Github Repo

Mastering Computer Vision: End-to-End Deep Learning System for Traffic Sign Recognition

Engineered an end-to-end deep learning pipeline to classify 43 German traffic signs (GTSRB) with 98.73% accuracy, deployed via a Streamlit dashboard for real-time inference and performance monitoring.
Click For Github Repo

Predictive Modeling & Analytics for Telecom Customer Retention

“Production-ready ML pipeline for telco churn prediction—95% recall, $269K ROI, and data-driven retention strategies.”
Click For Github Repo

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