Amala Deshmukh
Research Scientist at NVIDIA
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAmala Deshmukh is a research scientist at NVIDIA with nine years of experience applying deep learning to vision and language tasks, currently focused on training vision-language models. Trained at Carnegie Mellon (MS Computer Science) and with prior roles across autonomous vehicle mapping, perception at Uber ATG, and academic research, she bridges rigorous research and production engineering. Her background spans building scalable data pipelines and retrieval systems for large corpora, gesture-driven robotic simulation, and practical product tooling, reflecting a rare mix of ML research and hands-on systems implementation. Based in Mountain View, she is known for turning research prototypes into deployable components and for teaching graduate courses on large-scale ML, signaling strong mentorship and reproducible-science practices.
9 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science Computer Science, Master of Science Computer Science at Carnegie Mellon University
English, Hindi, Marathi
Github Skills (40)
transformers10
socket-io10
pytorch10
javascript10
language-model10
react-native10
web-application10
electron10
python10
machine-learning10
websocket10
apache10
chat10
zulip10
deep-learning10
Programming languages (3)
Github contributions (5)
amalad/Fluid-Simulation-SPH
Jan 2018 - Jun 2024
Contributions:4 pushes, 1 branch in 6 years 5 months
amalad/Bezier-curve-interactive
Dec 2017 - Mar 2018
Contributions:9 commits, 8 pushes, 1 branch in 3 months
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