Senior Deep Learning Performance Architect at NVIDIA
West Lafayette, Indiana, United States
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Summary
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Senior
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Top School
Tanvi Sharma is a Senior Deep Learning Performance Architect with a decade of experience at the intersection of ML systems, computer architecture, and device-aware hardware-software co-design. Currently at NVIDIA and simultaneously completing research work at Purdue under Prof. Kaushik Roy, she specializes in performance analysis, analytical cost-modeling, and dataflow/scheduling strategies that maximize reuse for deep learning workloads. Her background includes hands-on GPU architecture experience at NVIDIA, a research stint at Intel Labs, and practical digital design work at Texas Instruments, giving her a rare blend of industry and academic perspectives. She has deep expertise in processing-in/near-memory approaches and SOT-MTJ crossbar array analysis, translating device-level characteristics into system-level scheduling and mapping decisions. Known for turning complex algorithmic and device constraints into actionable performance strategies, she brings both rigorous research instincts and production-grade engineering discipline to ML hardware/software co-design.
9 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Roorkee
Senior Secondary Non Medical, Senior Secondary Non Medical at M.D.A.V. Public School, Ambala, Haryana
Secondary Education, Secondary Education at Campus School, Hisar, Haryana
This is the project I am doing in Summer'16. This repo mainly conatins the documents related to bluetooth communication and GUI development using python.
Contributions:4 pushes, 1 branch in 2 years 1 month
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