Soumye Singhal
Applied Research Scientist at NVIDIA
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolSoumye Singhal is an Applied Research Scientist with a decade of experience focused on large language models, embeddings, and NLP applications, currently advancing post-training methods at NVIDIA. She combines strong academic roots from IIT Kanpur and Université de Montréal with hands-on research at Mila under advisors including Aaron Courville and Yoshua Bengio. Her work spans student-teacher models, retrieval-augmented domain adaptation for neural machine translation, and cross-modal representation learning, reflecting a rare blend of theoretical depth and applied system building. Based in Old Toronto, she brings both industry-scale model engineering and published research experience to bridge cutting-edge LLM techniques with practical conversational AI products. An understated strength is her continuity across internships and research roles that progressively moved from reinforcement learning and vision-language work into state-of-the-art LLM post-training.
10 years of coding experience
3 years of employment as a software developer
CBSE, Science, CBSE, Science at Bal Bharati Public School, PitampuraIndian Institute of Technology KanpurMaster's degree, Computer Science, Master's degree, Computer Science at Université de Montréal
Hindi, English
Github Skills (39)
speaker-diarization10
speech-to-text10
machine-translation10
language-model10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
deep-learning10
generative-ai10
natural-language-processing10
asr10
speaker-recognition10
conversational-ai10
Programming languages (4)
Github contributions (5)
soumye/recalltraces
Sep 2018 - Dec 2018
Contributions:32 commits, 1 branch in 3 months
soumye/auv
Jun 2016 - Dec 2016
Contributions:25 pushes, 14 branches in 5 months
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