Connal De Souza
Senior Software Engineer at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolConnal De Souza is a Senior Software Engineer with a decade of experience applying systems-level engineering to improve fleet-wide server performance at Google, focusing on data-driven hardware/software co-design and optimization of common C++ libraries. A University of Toronto Engineering Science graduate, he blends embedded-systems roots and firmware work with cloud-scale backend and performance engineering, equally comfortable in C/C++, Java, Python and big-data stacks. He has a track record of squeezing latency and efficiency improvements—ranging from touchscreen firmware filters to CRC/hash optimizations for Arm in the widely used Abseil C++ library. Entrepreneurially minded, he co-founded an AI-powered customer-support startup and has shipped production services and data tools across startups and large teams. Based in New York, he pairs practical performance wins with a curiosity for AI, robotics, and machine learning toolchains.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science in Engineering Science Electrical and Computer Engineering, Bachelor of Applied Science in Engineering Science Electrical and Computer Engineering at University of Toronto
English, French
Github Skills (14)
algorithm10
hashtable10
data-structures10
arm10
algorithms10
c-language10
cprogramming-language10
crc10
performance-optimization10
architectures10
data-structure10
architecture10
assembler9
assembly9
Programming languages (3)
Github contributions (5)
abseil/abseil-cpp
Dec 2022 - Dec 2022
Abseil Common Libraries (C++)
Role in this project:
Performance Engineer
Performance EngineerContributions:1 commit in 1 day
Contributions summary:Connal primarily focused on optimizing the performance of core data structures and algorithms within the Abseil C++ library. Their contributions involved identifying and implementing performance improvements for key functions such as `CountLeadingEmptyOrDeleted()`, `ConvertSpecialToEmptyAndFullToDeleted()`, and refcount decrements. The user also optimized the CRC32 implementation and hash function, specifically targeting Arm architectures by leveraging architecture-specific instructions (Neon, pmull) to improve the speed of hash table operations, iteration, and resize.
cpp
conNULL/Gait-Characteristics
Mar 2019 - Jul 2019
Contributions:9 commits, 8 pushes, 1 branch in 3 months
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