Sourabh Dongaonkar

DevOps Engineer

Georgetown, Texas, United States13 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI performance architecture and optimization.
Proficient in statistical analysis and modeling.
Strong background in semiconductor device physics.

Stackforce AI infers this person is a specialist in AI/ML architecture with a focus on performance optimization in semiconductor technologies.

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Skills

Core Skills

Ai Inference AccelerationPerformance Optimization

Other Skills

architectural mappingfirst principles modelingcompiler developmentStatistical Data AnalysisEngineering StatisticsOptimizationVery-Large-Scale Integration (VLSI)MatlabPythonJMPSemiconductor DeviceModeling and SimulationSPICE

About

Expertise in early pathfinding, performance modeling, and hardware-software co-design for acceleratinge machine learning workloads on non-volatile storage and storage class memories. Extensive experience in modeling and simulations, statistical analysis and model development. Semiconductor device physics, CMOS modeling, variability and reliability analysis.

Experience

13 yrs 6 mos

Total Experience

4 yrs 10 mos

Average Tenure

3 yrs 9 mos

Current Experience

Amd

2 roles

Principal Member of Technical Staff - AI performance architect

Promoted

Jul 2023 – Present · 2 yrs 10 mos

AI performance architect - SMTS

Aug 2022 – Present · 3 yrs 9 mos

Analysis, architectural mapping, and performance optimization of new techniques for AI inference acceleration; e.g., sparse networks and quantization, This includes building first principles modeling of the accelerator HW, and working closely with SW developers for optimal mapping and compiler development of various NN architectures.

AI inference accelerationarchitectural mappingperformance optimizationfirst principles modelingcompiler development