Roopal Garg
Senior Staff Research Engineer at Google DeepMind
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolRoopal Garg is a Senior Staff Research Engineer at Google DeepMind with 11 years of experience building multimodal and multilingual systems that advance vision-language understanding. She specializes in designing efficient, high-quality datasets and automated raters/metrics to evaluate modern VLMs, with recent work on hyper-detailed image descriptions and their effects on text-to-image models. Her background blends applied ML and NLP—MS in CS (USC, 2013)—and spans roles at Google, GumGum (where she built production AWS data pipelines and recurrent-convolutional models for real-time social media classification), and contributions to open source projects like gensim. Roopal’s work uniquely emphasizes cultural and geographic nuance in multimodal models, and she holds a patent on automated content classification, reflecting a practical focus on deployable research. Based in Austin, she combines research rigor with production engineering to move cutting-edge multimodal capabilities into real-world systems.
11 years of coding experience
13 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at University of Southern CaliforniaBachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Savitribai Phule Pune University
English, Hindi
Stackoverflow
439reputation
59kreached
12answers
10questions
Github Skills (32)
sentence-embeddings10
latent-dirichlet-allocation10
gensim10
word2vec10
python10
arabic-nlp10
corpus10
data-mining10
word-embeddings10
information-retrieval10
lda10
fasttext10
natural-language-processing10
topic-modeling10
nlp10
Programming languages (1)
Github contributions (5)
roopalgarg/brand_embedding
Apr 2018 - Jun 2018
Contributions:3 releases, 20 commits, 16 pushes in 1 month
roopalgarg/kaggle
Jan 2015 - Apr 2016
Contributions:10 pushes, 1 branch in 1 year 3 months
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