Sanjeepan Sivapiran

My research lies at the intersection of Natural Language Processing (NLP) and Software Engineering, with a particular focus on improving code generation through alignment techniques (RLAIF, DPO, RLHF) for Large Language Models (LLMs). AI4SE LLM NLP SE

Recent-news

Sep 2024: Joined as Grad Research Assistant
Sep 2024: Joined as Grad Teaching Assistant
Sep 2024: Joined as a grad student @ Lassonde School of Engineering, York University, Canada
Jul 2023: Joined as Full time ML Engineer @ H2O.ai
Jul 2023: Graduated from University of Moratuwa with BSc Engineering
May 2023: Our paper got accepted at RANLP 2023 conference in the long paper category
Aug 2022: Completed ML Internship @ H2O.ai
Dec 2021: Joined H2O.ai as a ML Intern

Publications

	Party Extraction from Legal Contract Using Contextualized Span Representations of Parties Sanjeepan Sivapiran , Charangan Vasantharajan and Uthayasanker Thayasivam In: International Conference Recent Advances in Natural Language Processing (RANLP), 2023., 2023
	Sentiment Analysis in Dravidian Code-Mixed YouTube Comments and Posts Sanjeepan Sivapiran , Charangan Vasantharajan and Uthayasanker Thayasivam In: Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, CEUR, 2021., 2022

Experience

	H2O.ai Machine Learning Engineer Aug 2022 - Present Machine Learning Engineer - Intern Dec 2021 - Jul 2022
	Dept. Computer Science and Engineering Teaching Assistant Aug 2022 - Jul 2023
	ExentAI ML Engineer - Intern Sep 2021 - Nov 2021
	Aaivu.org Research Assistant Jun 2021 - Aug 2021

Education

University of Moratuwa
BSc Engineering (Hons)
Computer Science & Engineering Specialization
First Class
Oct 2018 - Jun 2023

Articles

H2O LLM DataStudio: Streamlining Data Curation and Data Preparation for LLMs related tasks
A no-code application and toolkit to streamline data preparation tasks related to Large Language Models (LLMs)

Adding Images to Firebase Storage and Cloud Firestore In Flutter
Tutorial: How to add image files to Firebase Storage and Cloud Firestore using Flutter (Dart).

Talks and Presentation

Guest Speeaker @ IEEE Summer School On Computational Intelligence: Theory and Application, University of Jaffna. Jul 2023
I had the privilege of serving as a guest speaker at the H2O.ai LLM Space and Tools session during an IEEE event, where I had the opportunity to share insights and knowledge with an engaged audience. The event provided a dynamic platform for exploring the latest developments in machine learning, artificial intelligence, and data science, with a special focus on H2O.ai's cutting-edge technologies.

Presentation at H2O.ai Sri Lanka Community Event, Oct 2022
I had the privilege of presenting our latest work in signature detection during a compelling talk, engaging with members of the vibrant community in Sri Lanka. The session provided an illuminating opportunity to share the intricacies and innovations that underpin our recent work.