Vidhi Zala
Systems Toolset Development Engineer at Intel Corporation
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolVidhi Zala is a Systems Toolset Development Engineer at Intel with a decade of experience building high-performance, energy-efficient interconnect fabrics and automation toolchains for system-on-chip design. She holds a Ph.D. in Computer Science from the University of Utah, where her research produced convex optimization–based, structure-preserving filters and contributions to the open-source spectral/finite element framework Nektar++. Vidhi blends deep computational-science expertise with practical software engineering—moving from FEM models of blood coagulation to production-grade NoC IP and front-end automation. Her background spans embedded and web stacks, data analysis for clinical research, and performance work on bioenergy tools, reflecting a rare mix of domain breadth and numerical rigor. Based in San Jose, she is equally comfortable writing C++ for simulation kernels and scripting automation for hardware design flows. A detail that often surprises collaborators: she bridges academic modeling and silicon-focused tooling, accelerating ideas from mathematical prototype to synthesizable hardware.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at School of Computing, University of UtahBachelor's Degree, Computer Engineering, Distinction, Bachelor's Degree, Computer Engineering, Distinction at University of Pune, India
Hindi, Marathi, English
Github Skills (4)
sem9
spectral8
signal-processing6
scientific-computing3
Programming languages (2)
Github contributions (4)
neurotoxins/dataviscourse-pr-visualizing_aviation_disasters
Nov 2015 - Dec 2015
Contributions:4 pushes in 9 days
mathLab/ITHACA-SEM
Feb 2020 - Jul 2020
ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods
Contributions:21 commits in 5 months
semscientific-computingsignal-processingspectralcomputational
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