Ganesh Kathiresan
Senior Software Engineer at Amazon
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolGanesh Kathiresan is a Senior Software Engineer with nine years' experience building robust, high-performance systems at Amazon, currently focused on World Wide Grocery's Networking, Cloud, and Software Infrastructure. He combines production-grade backend engineering with deep low-level expertise—evident from contributions to NumPy’s core ufuncs and integer-division optimizations and fixes to a C garbage-collection library that improved cross-platform memory behavior. Comfortable operating across languages and stacks, he brings a track record of shipping performance, stability, and compatibility improvements at scale. Based in Bengaluru, he pairs enterprise-grade delivery experience with active open-source stewardship, helping foundational scientific and systems projects run faster and more reliably.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at PES UniversityHigh School CBSE, High School CBSE at CMR National Public School
Stackoverflow
2,078reputation
2.6mreached
47answers
10questions
pip
top-5%
Github Skills (22)
python10
memory-management10
c1110
gcc10
numpy10
c1710
performance-optimization10
numerical-computing10
garbage-collection10
pip9
data-structures8
data-structure8
algorithms8
algorithm8
ubuntu6
Programming languages (9)
Github contributions (5)
numpy/numpy
Feb 2020 - Jan 2023
The fundamental package for scientific computing with Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:299 reviews, 116 commits, 57 PRs in 2 years 11 months
Contributions summary:Ganesh primarily focused on improving the performance and stability of the NumPy library, particularly in the area of integer division. Their contributions included fixing bugs related to error checks and self-referential data types, adding new features like libdivide for optimized integer division, and refining the division logic within the umath module. These changes aimed to enhance the speed and accuracy of mathematical operations within the NumPy ecosystem. They also added benchmarks and tests.
lapackpythonmpindarrayconvolution
mkirchner/gc
Dec 2019 - Jan 2020
Simple, zero-dependency garbage collection for C
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 9 PRs, 29 comments in 28 days
Contributions summary:Ganesh primarily focused on fixing bugs and enhancing the functionality of the garbage collection library written in C. Their work involved addressing issues related to GCC compiler behavior, particularly in areas like stack marking, allocation, and memory management. The user also added support for the Windows x86 platform and implemented realloc functionality, improving the library's overall robustness. This indicates a focus on low-level memory management and compatibility.
memory-managementgarbage-collectionzerobug-reportinggarbage
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