About
I'm a Machine Learning Engineer specializing in enterprise AI systems and Large Language Models. Currently at H2O.ai as MLE II, I build and deploy production-scale LLM solutions. I recently completed my Master of Applied Science (MASc) in Computer Engineering at York University, where I researched alignment techniques (RLHF, DPO, RLAIF) for improving code generation in LLMs, with publications at A* conferences like FSE.
Work Experience
Skills
Things I've Built
From production ML systems to open-source research tools.
Research & Speaking
Published research in NLP and information extraction, and presented at IEEE events and community meetups.
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation
FSE 2026 · Research Paper · Montreal, Canada
Investigated how preference alignment techniques (DPO, BoNBoN) benefit LLMs for code generation across five models, showing that alignment reduces the performance gap between pretrained and fine-tuned variants.
Party Extraction from Legal Contracts Using Contextualized Span Representations
RANLP 2023 · Long Paper
Developed a QA-based approach using RoBERTa to identify parties in legal contracts. Created an open-source legal party dataset with 1000 documents.
Sentiment Analysis in Dravidian Code-Mixed YouTube Comments and Posts
FIRE 2021 · CEUR Workshop Proceedings
Message-level polarity classification for code-mixed Dravidian language content on social media.
Guest Speaker @ IEEE Summer School on Computational Intelligence
University of Jaffna, Sri Lanka
Speaker at the H2O.ai LLM Space and Tools session during an IEEE event, sharing insights on machine learning, AI, and H2O.ai's technologies.
Presentation at H2O.ai Sri Lanka Community Event
Colombo, Sri Lanka
Presented latest work in signature detection, engaging with the ML community in Sri Lanka.
Get in Touch
Want to chat? Feel free to reach out on LinkedIn or send me an email. Always happy to connect.