Keval Morabia
Staff Deep Learning Engineer at Instagram
Ahmedabad, Gujarat, India
Summary
🤩
Rockstar🎓
Top SchoolKeval Morabia is a Staff Deep Learning Engineer at NVIDIA with eight years of experience building and optimizing production-ready AI systems, having joined NVIDIA through the OmniML acquisition where he was a founding team member. He specializes in quantization, pruning, and knowledge distillation for LLMs and maintains the TensorRT Model Optimizer toolkit to deliver hardware-efficient model deployments across NVIDIA and edge devices. His background spans research and production roles at Bloomberg, Microsoft Research, and AWS, where he built self-service model maintenance pipelines, document tagging systems, and scalable training/deployment infrastructure. A UIUC MS and BITS Pilani alum, he combines deep research rigor with hands-on engineering and is also an avid travel content creator who applies the same meticulous planning to both model optimization and multi-city itineraries.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceUniversity of Illinois Urbana-Champaign
English, Hindi, Gujarati
Github Skills (153)
webpage-screenshot10
language-model10
python10
deep-learning10
self-attention10
gpu10
gpu-acceleration10
graph-convolutional-networks10
information-extraction10
machine-translation10
convolutional-neural-networks10
acceleration10
multimodal10
nmt10
numpy10
Programming languages (7)
Github contributions (5)
kevalmorabia97/SEDTWik-Event-Detection-from-Tweets
Nov 2018 - Nov 2021
Segmentation based event detection from Tweets. Published at NAACL SRW 2019
Contributions:1 PR, 20 pushes, 1 comment in 2 years 11 months
nlpevent-detectionsegment-based-event-detectionnaaclsegmentation
kevalmorabia97/Latex-Resume-Keval-Morabia
Oct 2019 - Jan 2021
Contributions:35 commits, 26 pushes, 5 comments in 1 year 2 months
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