Lucas Bandarkar

UCLA — Ph.D. Student

Machine Learning, Natural Language Processing


I'm a first-year A.I. Ph.D. student in the Computer Science department at UCLA. I'm advised by Violet Peng in the PLUS Lab

Before this, I spent over two years as a data scientist at Meta/Facebook AI working on large-scale multilingual NLP. There, I generally focused on model evaluation, resource creation & data annotation, and global language strategy for a suite of production models (including machine translation, language identification, and text embeddings). Notably, I led the development of the Belebele dataset (GitHub, HuggingFace) and associated LLM evaluation paper. During my undergrad at UC Berkeley, I worked in Marti Hearst's NLP lab under the mentorship of Philippe Laban.

Research Interests

Applications: multilingual embeddings, LLM language adaptation, LMs in low-resource languages, language identification, machine translation


(upcoming) Research Intern, Meta AI 

Research Data Scientist, Meta AI

Aug 2021 - Sep 2023

(Data Scientist from Aug 2021 - Nov 2022)

machine translation, language identification, multilingual text embeddings, multilingual optical character recognition, Arabic dialect identification

Data Scientist Intern, Meta AI

May 2020 - Aug 2020

optical character recognition


(in progress) Ph.D. in Computer Science, UCLA

Sep 2023 - current

B.A. in Statistics, Data Science, UC Berkeley

Aug 2017 - May 2021