Ravi Bhattiprolu
Principal Engineer at NVIDIA
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolRavi Bhattiprolu is a Principal Engineer based in Bengaluru with over 25 years of hands-on experience designing system and network software for embedded, edge, and data-center platforms. He blends deep expertise in Linux bring-up, device drivers, virtualization, and security for ML inference—having architected OpenVINO security extensions and contributed to the OpenVINO Model Server’s custom loader functionality. Previously a Director at SiMa.ai, he led end-to-end software for an MLSoC platform, owning BSP, drivers, HW abstraction and ML offload pipelines while building and managing engineering teams. His career at Intel spanned system software architecture for edge Xeon platforms, TSN over 5G, and real-time hypervisor solutions, reflecting a rare mix of low-level firmware, kernel, and cloud/edge orchestration experience. Not obvious from titles: he moves fluidly between people leadership and deep individual-contributor work, shipping open-source improvements that directly enable secure, scalable model deployment. He holds advanced software systems training from BITS Pilani and a B.Tech in ECE from NIT Warangal.
5 years of coding experience
30 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceB.Tech Electronics & Communication, B.Tech Electronics & Communication at National Institute of Technology WarangalSSC, SSC at BSSS High School, RepalleIntermediate Maths Physics Chemistry, Intermediate Maths Physics Chemistry at Majeti Guravaiah Junior College
English, Telugu, Kannada, Hindi
Github Skills (11)
c-language10
inference10
cprogramming-language10
serve10
openvino10
ai9
machine-learning9
deep-learning8
deeplearning-ai8
kubernetes8
kubernetes-pods8
Programming languages (3)
Github contributions (5)
openvinotoolkit/model_server
Nov 2020 - Dec 2021
A scalable inference server for models optimized with OpenVINO™
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:82 reviews, 18 commits, 6 PRs in 1 year 1 month
Contributions summary:Ravi contributed significantly to the custom loader functionality within the OpenVINO Model Server. Their work focused on implementing a custom loader interface, including parsing configuration parameters, loading model files, and integrating model blacklisting capabilities. They addressed issues related to model loading from buffers and implemented enhancements for the 2021.3 release. These contributions highlight a focus on backend logic, model deployment, and integration with the model server's infrastructure.
pytorchscalableservingdeep-learningdag
openvinotoolkit/security_addon
Dec 2020 - Mar 2021
OpenVINO™ Security Add-on to control access to inferencing models.
Contributions:5 releases, 3 reviews, 13 commits in 3 months
securitymachine-learningopenvinoaccess-controladd-on
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