Apala Guha
Principal AI Architect & Engineering Manager at Microsoft
Easthampton, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolApala Guha is a Principal Engineer with a decade of experience designing and optimizing AI infrastructure that bridges hardware, software, and cloud systems to accelerate large models in production. She has led hardware-software co-design and inference platform delivery at Microsoft Azure and optimized model runtimes across AI accelerator startups including Tenstorrent, Lightmatter, and now Cerebras. Her background spans academic research in energy-efficient architectures and compilers to hands-on engineering work on custom accelerators, giving her a rare combination of theoretical rigor and product-focused execution. Based in Greater Boston, she consistently translates deep technical ideas into cross-team impact, from compiler-level optimizations to end-to-end inference pipelines. An unexpected throughline in her career is sustained focus on energy- and performance-aware systems, dating back to postdoctoral work on exascale efficiency.
9 years of coding experience
16 years of employment as a software developer
B.E Computer Science and Engineering, B.E Computer Science and Engineering at Jadavpur UniversityM.E Computer Engineering, M.E Computer Engineering at University of Virginia
English, Hindi
Github Skills (9)
resnet7
low-level-programming5
metal5
stable-diffusion4
accelerator4
mistral2
ml2
llm2
llama2
Programming languages (1)
Github contributions (5)
sfu-arch/Deepframe
Sep 2019 - Nov 2019
Contributions:6 commits, 4 pushes in 1 month
apalaguha/apala
Mar 2018 - May 2018
Contributions:5 pushes, 2 branches in 2 months
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