Deep Learning Software Engineer at Intel Corporation
Milpitas, California, United States
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Summary
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Rockstar
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Top School
Sachin Muradi is a Deep Learning Software Engineer with 7 years of experience building and optimizing AI inference stacks at Intel, focusing on bridging TensorFlow with inference compilers for Xeon CPUs, Movidius VPUs, and FPGA accelerators. He has deep expertise in graph-level optimizations, layer fusion, task scheduling, and backend implementations that improve performance for classification and detection networks in production environments. At Intel he developed compilers and RTL interfaces, tuned FPGA BSPs for higher clock frequencies, and implemented thermal-aware throttling—skills that span software, hardware, and systems integration. An active contributor to TensorFlow’s core, he has worked on operation remapping and graph transformation passes, demonstrating both low-level framework knowledge and commitment to open-source quality. Based in Milpitas, CA, Sachin pairs a Master’s in Electrical and Computer Engineering with hands-on experience across OpenCL, C++, and model tooling, enabling him to translate algorithmic needs into high-performance inference solutions. His background in HMI and model-based development also gives him an unusual blend of user-facing system design and deep embedded/accelerator optimization.
7 years of coding experience
4 years of employment as a software developer
Master’s Degree, Electrical and computer engineering, Master’s Degree, Electrical and computer engineering at Portland State University
BE, electronics and telecom, BE, electronics and telecom at govt engg college aurangabad
An Open Source Machine Learning Framework for Everyone
Role in this project:
Back-end Developer
Contributions:18 reviews, 29 commits, 18 PRs in 1 year 3 months
Contributions summary:Sachin's contributions focused on enhancing the `tensorflow/tensorflow` repository, specifically related to the remapping of operations within the core of the TensorFlow framework. The commits reveal modifications to the `pass.cc` file, suggesting a focus on optimizing graph transformations. Additionally, the user addressed formatting issues and rebased the code with the latest master branch, indicating a role in maintaining code quality and integrating changes. The user has been involved in fixing some build issues and has been involved in improving various tests.
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Sachin Muradi - Deep Learning Software Engineer at Intel Corporation