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

CodeDesignBuild

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.

CURATED STACK

Technology toolkit

Languages, frameworks, platforms, and tools I use across projects.

Python
TypeScript
JavaScript
Java
C++
C
Ballerina

React
Next.js
HTML5
CSS3
Tailwind CSS
GSAP

Node.js
Express.js
FastAPI
REST APIs

PostgreSQL
MySQL
MongoDB
Firebase
Supabase
Pandas
NumPy
Jupyter

Scikit-learn
Hugging Face
OpenAI
Gemini
Machine Learning
Deep Learning
Computer Vision
RAG Systems

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. As a full-stack developer, I enjoy designing and building scalable web and mobile applications that combine reliable software engineering with intelligent, data-driven capabilities.

My experience spans full-stack development, machine learning, multilingual natural language processing, predictive maintenance, RAG systems, and AI-assisted applications.

I am particularly fascinated by the potential of software, data science, machine learning, deep learning, computer vision, and intelligent systems to address meaningful real-world challenges. I am always eager to learn, experiment with emerging technologies, and build solutions that create a measurable impact.

SELECTED WORK

Featured Projects

A growing collection of software, AI, and data work—documented with the decisions behind it.

ausdav

AUSDAV

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.

devthon

Trash2Treasure

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.

pred

Pred

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.

devthon

Trash2Treasure

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.

pred

Pred

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.

rpal

RPAL Interpreter

Interpreter designing project

A Java-based interpreter project for RPAL (Right-reference Pedagogic Algorithmic Language), a functional programming language used for teaching programming language concepts. The project implements lexical analysis for tokenizing RPAL source files, provides parser and AST foundations for later interpreter stages, and includes command-line execution and automated test coverage. The architecture is structured to support future semantic analysis, standardization, CSE-machine evaluation, and full RPAL execution.

pred

Pred

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.

rpal

RPAL Interpreter

Interpreter designing project

A Java-based interpreter project for RPAL (Right-reference Pedagogic Algorithmic Language), a functional programming language used for teaching programming language concepts. The project implements lexical analysis for tokenizing RPAL source files, provides parser and AST foundations for later interpreter stages, and includes command-line execution and automated test coverage. The architecture is structured to support future semantic analysis, standardization, CSE-machine evaluation, and full RPAL execution.

nano

4-Bit Nano Processor on FPGA

VHDL project

A custom 4-bit nano processor designed from the ground up in VHDL and implemented for FPGA hardware. The processor combines an instruction ROM, program counter, instruction decoder, 8-register bank, arithmetic datapath, multiplexers, conditional jump logic, and status flags into a complete processing unit. The design exposes register values and processor states through onboard LEDs and a seven-segment display, with dedicated simulation/testbench modules for validating individual components and the integrated CPU.

rpal

RPAL Interpreter

Interpreter designing project

A Java-based interpreter project for RPAL (Right-reference Pedagogic Algorithmic Language), a functional programming language used for teaching programming language concepts. The project implements lexical analysis for tokenizing RPAL source files, provides parser and AST foundations for later interpreter stages, and includes command-line execution and automated test coverage. The architecture is structured to support future semantic analysis, standardization, CSE-machine evaluation, and full RPAL execution.

nano

4-Bit Nano Processor on FPGA

VHDL project

A custom 4-bit nano processor designed from the ground up in VHDL and implemented for FPGA hardware. The processor combines an instruction ROM, program counter, instruction decoder, 8-register bank, arithmetic datapath, multiplexers, conditional jump logic, and status flags into a complete processing unit. The design exposes register values and processor states through onboard LEDs and a seven-segment display, with dedicated simulation/testbench modules for validating individual components and the integrated CPU.

crime

CrimePulse

Anonymous Crime Reporting & Crime Intelligence Platform (Ballerina Competition Project)

CrimePulse is a full-stack public-safety platform built to let citizens report crimes anonymously or through registered accounts while preserving reporter privacy. It supports geotagged complaints with photo/video evidence, privacy-preserving crime heatmaps, crime-related news, emergency information, and an administrative workflow for reviewing reports, updating case status, and analyzing crime activity. Its backend is organized as Ballerina microservices for authentication, complaints, newsfeed, and uploads, backed by MongoDB and integrated with external mapping, media, news, and anti-spam services.

nano

4-Bit Nano Processor on FPGA

VHDL project

A custom 4-bit nano processor designed from the ground up in VHDL and implemented for FPGA hardware. The processor combines an instruction ROM, program counter, instruction decoder, 8-register bank, arithmetic datapath, multiplexers, conditional jump logic, and status flags into a complete processing unit. The design exposes register values and processor states through onboard LEDs and a seven-segment display, with dedicated simulation/testbench modules for validating individual components and the integrated CPU.

crime

CrimePulse

Anonymous Crime Reporting & Crime Intelligence Platform (Ballerina Competition Project)

CrimePulse is a full-stack public-safety platform built to let citizens report crimes anonymously or through registered accounts while preserving reporter privacy. It supports geotagged complaints with photo/video evidence, privacy-preserving crime heatmaps, crime-related news, emergency information, and an administrative workflow for reviewing reports, updating case status, and analyzing crime activity. Its backend is organized as Ballerina microservices for authentication, complaints, newsfeed, and uploads, backed by MongoDB and integrated with external mapping, media, news, and anti-spam services.

kandy

KandyPack System

Full-Stack Supply Chain, Order & Logistics Management System

KandyPack is a full-stack database-driven logistics management system developed for managing customers, products, orders, stores, workers, vehicles, routes, shipments, and deliveries. The system supports truck and train transportation workflows, worker assignments, order tracking, inventory-related operations, authentication, and automated logistics processes backed by a structured PostgreSQL database. It includes a modern Next.js frontend, an ElysiaJS API backend, Docker-based deployment, and automated CI/CD workflows.

crime

CrimePulse

Anonymous Crime Reporting & Crime Intelligence Platform (Ballerina Competition Project)

CrimePulse is a full-stack public-safety platform built to let citizens report crimes anonymously or through registered accounts while preserving reporter privacy. It supports geotagged complaints with photo/video evidence, privacy-preserving crime heatmaps, crime-related news, emergency information, and an administrative workflow for reviewing reports, updating case status, and analyzing crime activity. Its backend is organized as Ballerina microservices for authentication, complaints, newsfeed, and uploads, backed by MongoDB and integrated with external mapping, media, news, and anti-spam services.

kandy

KandyPack System

Full-Stack Supply Chain, Order & Logistics Management System

KandyPack is a full-stack database-driven logistics management system developed for managing customers, products, orders, stores, workers, vehicles, routes, shipments, and deliveries. The system supports truck and train transportation workflows, worker assignments, order tracking, inventory-related operations, authentication, and automated logistics processes backed by a structured PostgreSQL database. It includes a modern Next.js frontend, an ElysiaJS API backend, Docker-based deployment, and automated CI/CD workflows.

ausdav

AUSDAV

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.

kandy

KandyPack System

Full-Stack Supply Chain, Order & Logistics Management System

KandyPack is a full-stack database-driven logistics management system developed for managing customers, products, orders, stores, workers, vehicles, routes, shipments, and deliveries. The system supports truck and train transportation workflows, worker assignments, order tracking, inventory-related operations, authentication, and automated logistics processes backed by a structured PostgreSQL database. It includes a modern Next.js frontend, an ElysiaJS API backend, Docker-based deployment, and automated CI/CD workflows.

ausdav

AUSDAV

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.

devthon

Trash2Treasure

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.

ausdav

AUSDAV

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.

devthon

Trash2Treasure

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.

pred

Pred

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.

research

Fault 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.