Intern ML Engineer 2023 Nov - 2024 May
IronOne Technologies (Pvt) Ltd.
Contributed to several NLP related development projects focusing on R&D, Data Preperation, Model Finetuning, Testing and Debugging.
Who Am I?
Hi I'm Ravindi Weerasinghe I am a passionate and ambitious undergraduate pursuing Computer Science and Engineering, driven by a love for technology and a deep belief in its potential to improve the world. With a strong foundation in computer science and data science, I thrive on combining theoretical knowledge with innovation to create impactful solutions. My academic journey has cultivated a keen interest in data science and machine learning, where I explore how data can unlock insights and drive meaningful change. I am particularly drawn to projects that combine cutting-edge technologies like LLMs and transformer models to solve real-world problems, such as summarization frameworks and intelligent applications.
Beyond the technical realm, I am a creative thinker with a flair for content writing and a love for literature. Crafting engaging stories, captions, and narratives allows me to express ideas in unique and compelling ways. Balancing technical expertise with creative pursuits, I believe in the power of words and technology to inspire and connect people.
Machine Learning
Data
Science
Data
Analytics
Content
Writing
Programming Languages & Tools
Education
University of Morauwa, Katubedda, Sri Lanka
Specialization: Computer Science and Engineering
Stream: Data Science and Engineering
2021 - Present
Aquinas College of Higher Studies, Colombo 08
2020 - 2021
Work Experience
Projects
March, 2024 - Present | NLP
Corporate Report Summarization
Final Year Project
A segmentation-based framework leveraging pre-trained transformer models to summarize lengthy documents.
Tech Stack: Python, Pre-trained transformer models
2023 July - 2023 Nov | Machine Learning
Bus Arrival Time Prediction
Data Science and Engineering Project - Semester 5
A Data Science and Enginnering project which uses machine learning concepts for bus arrival time prediction under heterogeneous traffic conditions.
Tech Stack: Python, XG Boost, SHAP
June, 2024 | NLP
LLM-based learning assistant for Advanced Level Biology Students
Personal Project
An LLM-based chat application to answer questions related to the G.C.E. A/L Biology syllabus.
Tech Stack: Python, LangChain, HuggingFace, LLMs, Faiss, Fast API, Angular
June, 2023 - July, 2023 | Programming
RPAL Interpreter
CS 3513 - Programming Languages Project - Semester 4
An interpreter for the functional programming language RPAL consists
of lexical analyzer, parser and a CSE machine.
Tech Stack: Java
Oct, 2022 - Jan, 2023 | SE
Bank Transaction Management System
CS 3043 - Database Systems Project - Semester 3
A bank transaction management system which enables users to carry out different tasks like
registering new accounts, applying for online loans, online transactions etc. through a web application.
Tech Stack: MySQL, Nodejs, JavaScript
July, 2022 | VHDL
Nano Processor
CS 1050 - Computer Organization and Digital Design Project
4-bit nano processor capable of executing 4 instructions. Implemented as a project under CS1050 - Computer Otganiztion and Digital Design
Tech Stack: VHDL
June, 2022 - July, 2022 | Programming
Email Client
CS 1040 - Program Construction
A command-line based email client capable of sending emails to stored reciepients, adding new reciepients, and print details of previously sent emails.
Tech Stack: Java
Conference Proceedings
ITSC 2024, Edmonton, Canada Sep, 2024
A.K. Warnakulasuriya, C.D.R.M. Weerasinghe, H.K.G.V.L. Wickramarathna, Shiveswarran Ratneswaran, Uthayasanker Thayasivam, "Explainable Bus Arrival Time Prediction Model with Improved Features Related to Topography and Points of Interest", In proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
ICITR 2024, Moratuwa, Sri Lanka Dec, 2024
C.D.R.M. Weerasinghe, M.R.A.A.K. Gunasinghe, H.B.K.S. Siriwardana, Indika Perera, "Enhancing Text Segmentation with Positional Encoding and Sentence Embeddings: An Unsupervised Clustering Approach" , In proceedings of the 9th International Conference on Information Technology Research, 2024