Amogh Akshintala
Software Engineer at Databricks
Reno, Nevada, United States
Summary
🤩
Rockstar🎓
Top SchoolAmogh Akshintala is a software engineer with 12 years of experience focused on high-performance systems, currently building Apache Arrow-based vectorized query execution in Databricks' Photon engine. He previously worked as a Research Scientist at Meta Reality Labs on an IDL compiler and RPC framework for next-gen AR/VR OS, and earned a PhD studying virtualization of GPUs and API-controlled accelerators. His background spans OS and file systems (BetrFS), compilers (LLVM backend for a GPU vISA), and hardware-aware systems research, giving him rare cross-disciplinary expertise at the intersection of system software and computer architecture. At UNC he combined performance engineering, ISA analysis across Ubuntu binaries, and accelerator abstraction design, reflecting a practical curiosity about real-world instruction distributions and heterogeneous compute. Based in Reno, Nevada, he contributes to efforts documenting the human side of CS research (CSRTales) and brings both production-oriented engineering and deep research instincts to performance-critical infrastructure.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel HillBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Visvesvaraya Technological UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stony Brook University
Github Skills (126)
parser10
python10
crafting-interpreters10
scripting-language10
deep-learning10
gpu10
r10
scale10
sql10
bytecode10
spark10
java10
scala10
machine-learning10
jdbc10
Programming languages (9)
Github contributions (5)
oscarlab/hugo-oscar-lab
Oct 2017 - Sep 2019
Contributions:44 commits, 38 pushes in 1 year 11 months
aakshintala/darknet
Jul 2018 - Apr 2020
Convolutional Neural Networks
Contributions:193 pushes, 10 branches in 1 year 8 months
caffe2deep-learningconvolutionalneural-networkscaffe
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