Brendan Hansknecht
AI Performance Engineering Manager at Modular
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBrendan Hansknecht is an AI performance engineering manager with 11 years of hands-on experience spanning helpdesk support, networking, custom application development, and production software at companies including Google and Modular. He combines low-level systems know-how—demonstrated by substantive compiler and memory-management contributions to the Roc language—with practical machine learning and AI infrastructure experience driving performance at scale. Based in Mountain View, he moves between deep optimization work and leading teams to make models and frameworks reliably efficient in production. A continual learner inspired by cutting-edge research, he takes pride in building tools that quietly improve other people’s workflows and outcomes.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Michigan Technological UniversityUniversity of Detroit Jesuit High School and Academy
English, Spanish
Github Skills (13)
algorithm10
data-structures10
memory-management10
algorithms10
compiler-design10
datastructures-algorithms10
rust10
data-structure10
debug9
code-generation9
debugging9
build-system8
test-automation8
Programming languages (26)
Github contributions (5)
roc-lang/roc
Sep 2020 - Jan 2023
A fast, friendly, functional language.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:588 reviews, 766 commits, 366 PRs in 2 years 4 months
Contributions summary:Brendan's commits primarily focus on enhancing the Roc programming language, demonstrating expertise in compiler development. Their contributions include significant work in implementing the `RocStr` data structure, refactoring the compiler's internals to support it, and modifying existing examples to incorporate `RocStr`. Moreover, they engaged in the creation and integration of the reference counting mechanism to manage memory safely, indicating a focus on low-level programming and optimization within the Roc ecosystem. Further refinement in the build and testing of the compiler, including incorporating Valgrind and ensuring the correct handling of a dynamic executable, reveal contributions related to the infrastructure of the compiler's tests.
functional-languagefunctional-programmingrustroccompiler
bhansconnect/roc-ecs
Mar 2022 - Apr 2022
Playing around with ECS in Roc
Contributions:82 commits, 2 PRs, 58 pushes in 22 days
rocecsplayingaws
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