Krishna Gadepalli
VP, AI Platform
Fremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKrishna Gadepalli is a seasoned engineering leader and VP of AI Platform based in Fremont, CA, with nearly three decades of experience building production-grade software and leading large technical organizations. He has deep systems and visualization roots from early roles at Sun and Philips, later advancing to staff engineering roles at Google and X where he blended infrastructure, AI, and platform engineering. Krishna combines low-level engineering rigor—evident from open-source work improving robustness and memory management in an FDTD electromagnetic simulation project—with executive delivery of enterprise AI platforms. He is comfortable shipping both research-grade tooling and highly reliable, scalable systems for complex domains like medical imaging and distributed graphics. Colleagues would describe him as a practical architect who spots fragility in code and fixes it before it becomes a production outage.
4 years of coding experience
32 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceSanthome Higher Secondary SchoolUniversity of North Carolina at Chapel Hill
Github Skills (8)
memory-management10
c-language10
cprogramming-language10
optmization10
performance-optimization10
optimisation10
optimization10
hdf9
Programming languages (2)
Github contributions (4)
NanoComp/meep
Jun 2021 - Dec 2021
free finite-difference time-domain (FDTD) software for electromagnetic simulations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 reviews, 9 commits, 11 PRs in 6 months
Contributions summary:Krishna primarily focused on improving the codebase's robustness and memory management. Their contributions included fixing use-after-free vulnerabilities, optimizing memory allocation by using `size_t` correctly, and refactoring methods to use const references. Furthermore, they implemented features related to saving and loading simulation state to and from HDF5 files, enabling support for shared dumping and sharded fields. These changes indicate a focus on enhancing the stability and efficiency of the simulation software.
electromagneticfdtdfinite-differencesimulationssimulation
kkg4theweb/meep
May 2021 - Dec 2021
free finite-difference time-domain (FDTD) software for electromagnetic simulations
Contributions:46 pushes, 12 branches in 6 months
electromagneticfdtdfinite-differencesimulationssimulation
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