BSc (Hons) AI Undergraduate · Open-Source Contributor · Always a Learner
I build tools that put Sinhala and Sri Lanka on the AI map — libraries, benchmarks, and the
occasional study. Welcome to my digital garden; feel free to explore!
I measured how LLM tokenizers price Sinhala: the same content costs 2.26× more tokens than English on GPT-4o — and a 32k BPE tokenizer I trained beats 200k+ multilingual vocabularies by 2×. Built tokscope to make this measurable for any language, and published the tokenizer on Hugging Face.
Team: The X Order
Emerging victorious among 140+ teams across Designathon, Hackathon, and Datathon stages.
Demonstrated excellence in UI/UX, Full-stack Engineering, and Data Science.
Developed a mobile app that generates lecture notes from recorded audio using Langchain and RAG architecture. Built the frontend using Flutter and backend with FastAPI and MongoDB.
Parse, validate, convert and generate Sri Lankan National Identity Card numbers — decodes birth date and gender from both old and new formats. Zero dependencies, fully typed, on PyPI.
A SentencePiece BPE tokenizer for Sinhala trained on OSCAR — fertility 1.58 with ~0 UNKs, outperforming multilingual vocabularies 8× its size on Sinhala text.
Authors: A.W.R.P. Karunarathna, T.U.M.N. Premarathna, R.G.S. Dilshan, W.A.K.H.R.
Wanniarachchi, Y.M.C.N. Bimsara, I.T.S. Piyatilake
Published in the 2024 9th International Conference on Information Technology Research
(ICITR).
Voicense leverages cutting-edge AI technologies to automate lecture transcription and optimized
note generation, addressing the inefficiencies of traditional note-taking. It aims to
revolutionize educational methods for both students and educators.
Simulated ant foraging behavior using Python and Pygame, focusing on pheromone-based pathfinding to model collective intelligence.
Fine-tuned distilGPT-2 model for Sinhala text generation using XLM-Roberta tokenizer with a translated Alpaca dataset.
Developed a web app using Flask and NLTK to perform real-time sentiment analysis on user-provided text.
Multi-Agent System simulating collaborative brainstorming to generate and automate solutions. Powered by AI Agents and LLMs.
Intelligent system leveraging YOLO and fuzzy logic to detect elephants in rural areas, aiming to reduce Human-Elephant Conflict (HEC).
Automated data cleaning and analysis pipeline powered by Google Gemini, capable of handling diverse dataset natures.
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