Anish Saxena
PhD Candidate
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolAnish Saxena is a PhD candidate at Georgia Tech specializing in computer architecture, systems, and security with eight years of research and industry experience designing memory- and bandwidth-centric datacenter systems. His work spans practical defenses against Rowhammer, CXL-based server designs, and system-level optimizations to scale trillion-parameter LLM training and serving—efforts informed by internships at AMD, Micron, Intel Labs, and multiple stints at NVIDIA. He models end-to-end tradeoffs (memory capacity, bandwidth, communication) to propose DDR-centric GPU designs that challenge HBM-first assumptions for LLM workloads. Comfortable bridging theory and practice, he has also built educational tooling for multi-node GPU programming and contributed open-source bootcamp materials used in NVIDIA hackathons. Based in Atlanta, he combines deep architecture intuition with hands-on system engineering to make large-scale ML workloads more efficient and secure.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyIndian Institute of Technology KanpurClass 10: 10/10 CGPA, Class 12: 94.4%, Class 10: 10/10 CGPA, Class 12: 94.4% at St. Kabir School
English, Hindi, German
Github Skills (19)
elasticsearch-cluster7
operator7
elasticsearch6
deepstream6
snapshots6
openacc5
openmp5
kubernetes5
machine-learning4
deep-learning4
gpu4
cuda4
aqua4
ieee3
docker3
Programming languages (2)
Github contributions (5)
car3s/dabangg
May 2020 - Aug 2020
Contributions:16 commits, 19 pushes, 1 branch in 2 months
Anish-Saxena/Anish-Saxena.github.io
Aug 2020 - Aug 2022
Contributions:17 commits, 43 pushes, 1 branch in 2 years
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