Loading...

About Me

Prabod Rathnayaka

Contact

email: prabod [at] rathnayaka [dot] me

twitter: @_prabod

location: Melbourne, Australia

Bio

I'm a Senior Machine Learning Engineer and AI Researcher with a PhD in AI, specializing in NLP, Voice AI, and Multimodal Learning. Currently, I'm advancing the field at John Snow Labs by integrating state-of-the-art LLMs and embedding models into the Spark NLP library.

My research focuses on advancing artificial intelligence for multimodal environments with cognitive computing inspired modality independence. I've published in top-tier conferences and have been recognized for my contributions to AI research and industry applications.

With over 6 years of experience in machine learning and AI, I'm passionate about bridging the gap between cutting-edge research and real-world applications that make a meaningful impact on society.

Experience

Senior ML Engineer

John Snow Labs • 2024 - Present

Leading integration of state-of-the-art LLMs and embedding models into Spark NLP library, contributing to 83,000+ pre-trained pipelines across 200+ languages.

ML Engineer

Replica Studios • 2023 - 2024

Developed deep learning models for expressive text-to-speech synthesis, improving speech quality and naturalness in AI-generated voices for interactive storytelling applications.

Data Scientist

Centre for Data Analytics and Cognition, La Trobe University • 2019 - 2023

Led AI team for La Trobe Energy Analytics Platform (LEAP) achieving $500K+ savings. Developed Bunji mental health chatbot recognized as top research project.

Technical Skills

Programming

PythonScalaSQLC/C++

ML/DL

PyTorchTensorFlowLLMsRAG

Cloud & DevOps

AWSAzureDockerK8s

Education

PhD in Artificial Intelligence

La Trobe University • 2019 - 2023

Thesis: "Advancing Artificial Intelligence for Multimodal Environments with Cognitive Computing Inspired Modality Independence"

BSc in Computer Science and Engineering

University of Moratuwa • 2014 - 2018

Specialized in Machine Learning and Data Science with focus on deep learning applications.

Let's Connect

I'm always interested in discussing AI research, collaborating on innovative projects, or exploring new opportunities in machine learning.