BSc Software Engineering undergraduate at SLTC since June 2022, specializing in AI engineering. Passionate about Generative AI, Agentic AI, Machine Learning, Deep Learning, and full-stack development to create impactful solutions in education and community development.
- AI/ML/DL: Develop models using Python, PyTorch, and LightGBM for recommendation systems, predictive analytics, and graph-based learning.
- Generative & Agentic AI: Experiment with transformers, diffusion models, RAG, and LangChain for personalized content and autonomous agents.
- Software Development: Build scalable web apps with MERN stack, Django, React.js, and Next.js.
- Community Impact: Lead volunteering in tech events (e.g., NASA Space Apps, IEEE workshops) and student societies to foster innovation and education.
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AI-powered personalized education platform that adapts teaching to individual learning patterns using generative and agentic AI. Features real-time progress tracking and interactive modules. (React.js, Django, RAG, LangChain, Deepseek, Python)
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An educational math platform for O/L students, offering study materials, past papers, and expanding with interactive lessons, practice tools, calculators, virtual keyboards, and more to enhance accessible learning. (Next.js, Tailwind CSS, Latex)
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ML-based recommender for university courses using Z-scores and UGC cutoff data (2020-2025) to help students make informed decisions. (Next.js, Tailwind CSS, Machine Learning, LightGBM, Kaggle)
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Graph Neural Network implementation for node classification on arXiv citation dataset, comparing GCN, GraphSAGE, and GAT models with evaluation and hyperparameter tuning. (PyTorch Geometric, OGB, Scikit-learn, Matplotlib, NumPy)
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ML-based traffic accident prediction using logistic regression, random forest, and neural networks (up to 89% accuracy), plus a Flask chatbot for real-time safety recommendations. (TensorFlow, Scikit-learn, Flask, Python)
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AI-powered mental health assistant with voice interaction, fine-tuned Gemma-3 model for psychological guidance, RAG for context-aware responses, and crisis detection. (Streamlit, PyTorch, Hugging Face Transformers, Whisper, FAISS, Kokoro TTS)
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AR Space Education Application - An immersive Augmented Reality (AR) educational application focused on solar system exploration and space phenomena. Built with Unity and Vuforia SDK to create interactive learning experiences.
View on GitHub -
React Native Mobile App - Built while learning React-Native via the YouTube Crash Course
View on GitHub -
Brainbox Quiz App - Full-stack quiz system with React frontend and Django backend.
View on GitHub -
Smart Fan Control System with Gesture Recognition - IoT-based system integrating sensors and machine learning gesturer recognition for automated fan control.
View on GitHub -
SLTC Academics - Platform for managing SLTC academic resources, schedules, and student tools.
View on GitHub
(Explore more in my Repositories.)
| Category | Tools |
|---|---|
| AI / ML / DL | PyTorch • PyTorch Geometric • LightGBM • Hugging Face • TensorFlow • LangChain • Kaggle |
| Generative & Agentic AI | Transformers • Diffusion Models • RAG • Reinforcement Learning |
| Web Development | React.js • Next.js • Django • MERN Stack • Tailwind CSS • Material UI |
| Programming & Data | Python • JavaScript • Java • Pandas • NumPy • Plotly |
| DevOps & Tools | Git • Jira (SCRUM) • Docker • FastAPI • Google Colab |
- Email: [ranaweerakasi@gmail.com]
- LinkedIn: kasiranaweera
- Portfolio: kasiranaweera.vercel.app
Feel free to explore my repositories and reach out for collaboration