Software Engineering
Building maintainable applications, APIs, and responsive product experiences.
Hello! I’m
Ruththiragayan Sutharsan
As I like to be unique, I built this creative portfolio block by block with my own idea bits.
- Full-Stack Developer
- Creative Designer
- Passionate Learner
Sri LankaOpen to remote opportunities
THE TOOLKIT
Skills & Technologies
I build across software engineering, intelligent systems, and data—using a modern toolkit for creating reliable, thoughtful, and scalable digital experiences.
AI & Machine Learning
Developing intelligent workflows, models, and AI-powered application features.
Data Science & Analytics
Transforming structured and unstructured data into useful insights and decisions.
CURATED STACK
Technology toolkit
Languages, frameworks, platforms, and tools I use across projects.
Languages
- Python
- TypeScript
- JavaScript
- Java
- C++
- C
- Ballerina
Frontend
- React
- Next.js
- HTML5
- CSS3
- Tailwind CSS
- GSAP
Backend & APIs
- Node.js
- Express.js
- FastAPI
- REST APIs
Data & Databases
- PostgreSQL
- MySQL
- MongoDB
- Firebase
- Supabase
- Pandas
- NumPy
- Jupyter
AI & Machine Learning
- Scikit-learn
- Hugging Face
- OpenAI
- Gemini
- Machine Learning
- Deep Learning
- Computer Vision
- RAG Systems
Tools, Cloud & Design
- Git
- GitHub
- Docker
- Linux
- Visual Studio Code
- Vercel
- Figma
- Adobe Photoshop
- Adobe Illustrator
- Canva
Practices & capabilities
- API Design
- Responsive Design
- Data Analysis
- Model Evaluation
- Prompt Engineering
- RAG Systems
- Prototyping
- Deployment
- Version Control
- CI/CD
BEHIND THE WORK
About Me
I am a Computer Science and Engineering undergraduate at the University of Moratuwa, specializing in Data Science and Engineering. I am also a Full-Stack Developer who enjoys building scalable web and mobile applications using modern technologies.
I am fascinated by how software, data, machine learning, deep learning, computer vision, and intelligent systems can solve real-world problems.
SELECTED WORK
Featured Projects
A growing collection of software, AI, and data work—documented with the decisions behind it.
completedAUSDAV
Organizational Project
AUSDAV is a full-stack student development and association management platform built for the All University Students’ Development Association – Vavuniya District. It acts as a centralized digital hub where students can access examinations, quizzes, educational resources, seminars, events, announcements, committee information, donations, registration, profiles, and other association services. The platform also includes an extensive administration portal for managing members, applicants, patrons, events, exams, quizzes, seminars, past papers, announcements, results, designations, feedback, permissions, and contact information. Additional administrative functionality includes QR-based member verification, ID-card generation, finance submission and verification, finance ledgers, audit logs, site-mode controls, emergency locking, role/permission management, authentication, and member profile management.
completedTrash2Treasure
Devthon Competition Project
Trash2Treasure is a full-stack waste-management platform that connects customers, drivers, recyclers, corporate users, and administrators in one system. Users can schedule waste pickups, choose waste categories, upload waste images, provide pickup locations, view estimated pricing, track booking status, receive notifications, and earn reward points. Drivers can manage assigned pickups, while the platform supports role-based administration, recycler/corporate accounts, payments, and operational tracking. The underlying booking model includes scheduling, GPS coordinates, weight estimates, final collected weight, pricing, driver assignment, payment transactions, status history, and rewards.
completedPred
Predictive Maintenance Platform
Pred is a multi-tenant predictive maintenance platform designed to monitor equipment, process sensor and device events, generate ML-driven maintenance insights, and notify users when maintenance may be required. The system uses an event-driven microservices architecture with secure tenant isolation, real-time data ingestion, authentication, API gateway routing, and observability.
RESEARCH & DISCOVERY
Research
Published papers, experiments, and ongoing studies across software, AI, and data.
publishedFault of Our Stars
Behavioral Drivers of Rating–Sentiment In-congruence
When people share experiences online, they often express thoughts in two ways: a star rating and a written review. In sentiment analysis, ratings are widely used as convenient weak labels for textual sentiment, yet whether the two actually agree is rarely questioned. This study investigates sentiment-rating incongruence, where the sentiment expressed in review text differs from the sentiment implied by the assigned star rating, in Sri Lankan tourism attraction reviews. A dataset of 16,156 reviews from 2010 to 2023 is analyzed using a transformer-based sentiment pipeline that derives textual sentiment independently of assigned ratings. Incongruence occurs in 18.6% of reviews and falls into six directional patterns, with Conservative Rater and Obligatory 5-Star behaviors accounting for the majority of mismatches. Prevalence also varies across venue types, with museums showing the highest rates. Statistical tests, logistic regression, Random Forest, and SHAP analysis identify venue type, reviewer expertise, review length, and temporal factors as contributors to rating-text divergence. Overall, this study demonstrates that star ratings are not interchangeable with textual sentiment and should be validated before being treated as ground-truth labels in NLP.
LET’S CONNECT
Let’s Build Something Meaningful
I’m open to internships, collaborations, research opportunities, and exciting software, AI, or data-driven projects. Whether you have an opportunity, an idea, or simply want to start a conversation, feel free to reach out.