public class Ravee extends Engineer {
String name = "Ravindu Nayanaka Dayarathna";
String degree = "BScEng (Hons) Special — Computer Engineering (Undergraduate)";
String university = "University of Jaffna, Faculty of Engineering";
String location = "Sri Lanka 🇱🇰";
String[] currentWork = {
"Research: Multi-driver Spark Architecture for Distributed Computing",
"ML Research: Spleen Dimension Prediction (Deployed on Streamlit)",
"Platform Dev: EQuipHub — University Equipment Management System",
"App Dev: Amigo — WebRTC Video Conferencing Platform",
"Embedded: Smart Wheelchair with Sensor Fusion & Motor Control"
};
String[] communities = {
"ESU (Engineering Students' Union) — Assistant Secretary",
"IEEE RAS Student Member",
"IESL Young Members Section"
};
boolean openToCollaborate = true;
}
|
Distributed Computing Research · BScEng Final Year
Research project exploring a novel multi-driver architecture for Apache Spark to improve parallelism, fault tolerance, and workload distribution in large-scale data processing pipelines. Stack: Python · Apache Spark · Distributed SystemsStatus: 🟡 Active Research — ongoing commits 🔗 View Repository |
ML Research · Clinical Decision Support · Deployed
A machine learning system predicting spleen dimensions (length, width, volume) from patient biometrics using optimized linear regression models. Built with clinical justification, validated with 10-fold cross-validation, and deployed as a live Streamlit web app. Stack: Python · Scikit-learn · Streamlit · Pandas · PlotlyStatus: ✅ Production Ready — Live Demo 🔗 View Repository |
|
Full-Stack Web App · University Platform
A comprehensive equipment borrowing and management platform for university departments. Features equipment tracking, booking workflows, role-based access control, and department dashboards. Stack: Spring Boot · React · MySQL · REST APIsStatus: 🟡 Active Development |
Real-Time Communication · WebRTC
A WebRTC-based video conferencing application supporting peer-to-peer video/audio communication, real-time chat, and multi-user session handling. Built with a focus on low-latency connection and clean UX. Stack: WebRTC · Node.js · JavaScript · Socket.IOStatus: 🟡 Active Development |
|
Embedded Systems · Robotics · Arduino
Motorized wheelchair with joystick and Bluetooth smartphone control, ultrasonic + IR object detection, RPM-based motor safety, and PWM speed control via BTS7960/L293D drivers. In Progress: Auto seat adjustment · Reverse sensingStack: C++ · Arduino Mega · HC-SR04 · BTS7960 |
Full-Stack · PHP · MySQL
A complete hostel management platform with admin, student, and warden modules. Includes room allocation, complaints, internet quota tracking, gate-based arrival logging, and delivery management. Stack: PHP · MySQL · HTML/CSS/JS🔗 View Repository |
|
Full-Stack · Java Spring Boot · Angular
A full-stack voting application with a Java Spring Boot REST API backend and an Angular frontend. Supports candidate management, vote casting, and real-time result display. Stack: Java · Spring Boot · Angular · TypeScript · MySQL🔗 Backend · 🔗 Frontend |
Python · Automation Bot
An automation bot project built in Python, exploring event-driven programming and automated interaction logic. Stack: Python🔗 View Repository |
|
Network Application Design · Java
A networked classroom chat application built for the Network Application Design module, supporting real-time messaging across connected clients. Stack: Java · Networking · Sockets |
Java Backend · Academic Tool
A student information management system for tracking academic records, enrollment details, and student profiles in a structured database-backed system. Stack: Java · MySQL🔗 View Repository |
| Area | Focus |
|---|---|
| 🧩 Data Structures & Algorithms | Java — problem solving and performance analysis |
| 🌱 Spring Boot (Deep Dive) | Security, pagination, layered architecture, REST best practices |
| 🤖 Machine Learning | Supervised learning, model evaluation, scikit-learn pipelines |
| ⚡ Distributed Systems | Apache Spark internals, cluster architecture, workload optimization |
| 🔌 Signals & Systems | Fourier/Laplace analysis, Electronic Devices, MIPS Assembly |
- Finalize Multi-driver Spark research prototype and document findings
- Improve EQuipHub features (notifications, analytics, deployment)
- Enhance Amigo platform (better UI, session management, stability)
- Complete Smart Wheelchair auto-seat and reverse sensing additions
- Deploy a production version of EQuipHub for real campus use
- Extend the spleen model — add more features, improve R² scores
- Build a personal portfolio website with all project write-ups
- Contribute to an open-source Spring Boot or ML project
- Cloud-scale big data pipelines (Spark + cloud)
- Edge ML integration into embedded systems
- Biomedical AI research — expand the clinical ML work
- Explore Kubernetes for container orchestration and microservices
"Don't just simulate systems — build them, break them, and understand why they failed."
I approach every project with a hardware-to-cloud mindset. Whether it's tuning PWM signals on a motor driver or optimizing a Spark cluster for distributed ML workloads, I believe the best engineers understand both the electrons and the endpoints.
| Platform | Link |
|---|---|
| raveest56@gmail.com | |
| Ravindu Nayanaka Dayarathna | |
| 🐙 GitHub | Ravindu56 |
| 🌐 ML Demo | Spleen Predictor — Live App |
| 🌐 Portfolio | Coming Soon |
"Build. Break. Learn. Repeat." 🚀