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Surabhi Kumari

Surabhi Kumari

AI/ML Engineer focused on NLP and multilingual QA

surabhi-pandey-4339
New Delhi, Delhi, India
Joined March 2026
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Summary

Published NLP researcher with a focus on multilingual and cross-lingual methods, contributing to academic work on multilingual QA and multilingual co-training. aclanthology+2
Early-career AI/ML practitioner transitioning from graduate study to industry, listed as AI/ML Engineer at Quytech beginning in 2025.
Open-source and dataset contributor: involved in releasing the MMQA dataset and has presence on GitHub supporting reproducible resources for multilingual QA research. github+1
Technical foundation in data science and software skills noted during MCA placement listings, with explicit mentions of Python, MySQL, AI/ML, Java, and MongoDB. ac+1

Work

Education

Projects

Writing

Covariance and Correlation

January 1, 2025

Medium blog post explaining covariance and correlation, their formulas, interpretation, limitations, and worked examples.

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From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training

January 1, 2019

Paper proposing Multilingual Co-training (MCT) to augment annotated English datasets with machine translations for joint fine-tuning of pre-trained language models; reports consistent gains on cross-lingual transfer tasks and a FAQ dataset (ACL Workshop, DeepLo 2019).

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MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi

January 1, 2018

Description and dataset paper for MMQA, a multi-domain English-Hindi QA resource created from comparable documents across six domains and released with citation guidance (LREC 2018).

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Hobbies

Active on Kaggle (data science practice and notebooks). kaggle