Sharvil Shah
AI Frameworks Engineer at Intel Corporation
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolSharvil Shah is an AI Frameworks Engineer based in San Jose with nine years of industry and research experience building and productionizing computer vision and deep learning systems. He holds a Master's in Computer Science from UCF and moved from training and deploying CV models at a leading Indian surveillance startup to engineering ML frameworks and MLOps at Intel, where he focuses on Dockerized reproducible pipelines and Intel-optimized PyTorch integrations. Comfortable in Python, PyTorch, TensorFlow and container ecosystems, he blends hands-on model work with engineering for scale—contributing to Intel’s AI Reference Models by automating Docker builds, dependency integration, and benchmarking for DLRM training. His background in academic research and teaching (robot vision, person re-identification) gives him a strong foundation in both theory and practical deployment, and he often bridges the gap between prototype research and production-ready ML infrastructure.
9 years of coding experience
4 years of employment as a software developer
Bachelor in information and communication technology, Information and Communication Technology, Bachelor in information and communication technology, Information and Communication Technology at School Of Engineering and Applied Science, AhmedabadShree Vidyanagar high schoolMaster's degree, Computer Science, Master's degree, Computer Science at University of Central Florida
English, Hindi, Gujarati
Github Skills (12)
pytorch10
docker10
dockers10
ai9
deep-learning9
performance-analysis8
inference8
performance-monitor8
onnx7
tensorflow7
python6
cicd6
Programming languages (7)
Github contributions (5)
intel/ai-reference-models
Nov 2020 - Dec 2022
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
Role in this project:
MLOps Engineer
MLOps EngineerContributions:11 commits in 2 years 1 month
Contributions summary:Sharvil primarily contributes to the configuration and optimization of Dockerfiles and build processes for the Intel AI Reference Models repository. Their work centers on integrating various deep learning frameworks such as PyTorch, along with necessary dependencies like Intel Extension for PyTorch, torch_ccl, and related tools such as ONNX and MLPerf logging. The commits also involve the setup of testing scripts and Docker image configurations for DLRM model training, emphasizing the automation and reproducibility of the model deployment and benchmarking pipeline.
optimizationsprocessorstensorflowzoomodel-zoo
sharvil10/Remote
Apr 2017 - Feb 2020
Contributions:2 pushes, 1 branch in 2 years 10 months
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