Shefali Garg
Research Engineer at Meta
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolShefali Garg is a research engineer with ~10 years of experience building large-scale AI systems, currently focused on GenAI and multimodal assistant modeling. She has led work at Google DeepMind and Google’s Speech Research team developing and fine-tuning LLMs and ASR models using PEFT, SFT, and RLHF, with applied expertise in self-/semi-/unsupervised learning, personalization, and bias mitigation. Her publications include improving recognition for African American English and large-scale domain adaptation, evidencing both strong research and production impact. Earlier roles span product-facing engineering at Adobe and ML internships that combined systems thinking with practical deployment. Based in Mountain View, she blends academic rigor from Carnegie Mellon with hands-on systems delivery, often optimizing for data efficiency and on-device constraints. Colleagues describe her strength as bridging research and engineering to ship robust, equitable speech and language technologies.
10 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceSeedling Modern High School, JaipurMasters Computer Science, Masters Computer Science at Carnegie Mellon University
English, Hindi, French
Github Skills (4)
nlp5
pipeline5
python4
natural-language-processing4
Programming languages (1)
Github contributions (5)
shefali92/shefali92.github.io
Nov 2024 - Dec 2024
Contributions:4 pushes, 1 branch in 21 days
shefali92/PersonalWebsite
Nov 2024 - Dec 2024
Contributions:3 pushes, 1 branch in 5 days
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