Jin Kang
Global Head Of Tech (Pre-Sales) Forward-Deployed Engineering AI GTM at Amazon Web Services (AWS)
Los Angeles Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJin K is a senior technology leader who heads AWS’s global forward-deployed engineering and AI GTM organization, with over a decade of experience turning research-grade models into production-grade business systems. He builds repeatable applied-AI delivery frameworks and partner co-sell motions that scale modernization and GenAI deployments across industries and regions. Equally fluent in deal composition and technical commercialization, Jin shapes GTM playbooks, commercial standards, and field enablement for multi-region engineering teams. His hands-on background includes cross-platform backend and build-system contributions to high-profile open-source C++ projects, reflecting a focus on production reliability and platform compatibility. Based in Los Angeles and MBA-trained at Columbia, he now connects with founders and investors to share field-tested playbooks for agentic AI and early-stage technical scaling.
5 years of coding experience
2 years of employment as a software developer
BA Liberal Arts, BA Liberal Arts at The City University of New YorkMBA, MBA at Columbia Business SchoolMBA General Management, MBA General Management at Columbia University
english, korean
Github Skills (23)
asynchronous10
c-language10
async10
testing10
build-system10
bazel10
coroutines10
cprogramming-language10
concurrency10
ppc64le9
data-structure9
algorithm9
compatible9
algorithms9
compatibility9
Programming languages (4)
Github contributions (5)
alibaba/async_simple
Oct 2022 - Dec 2022
Simple, light-weight and easy-to-use asynchronous components
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:176 reviews, 36 commits, 79 PRs in 1 month
Contributions summary:Jin primarily contributed to the build system and platform support of the asynchronous components library. Their work included adding support for Bazel builds, configuring platform-specific settings, and updating dependencies. They also added support for the ppc64le architecture within the uthread implementation and fixed compile issues for various platforms and benchmarks, demonstrating a focus on cross-platform compatibility and build system integration.
light-weightcppasynchronouscallbackslight
Tencent/flare
May 2022 - Dec 2022
Flare是广泛投产于腾讯广告后台的现代化C++开发框架，包含了基础库、RPC、各种客户端等。主要特点为易用性强、长尾延迟低。
Role in this project:Back-end Developer
Back-end DeveloperContributions:29 reviews, 9 commits, 34 PRs in 7 months
Contributions summary:Jin contributed to the `flare` framework by fixing compile bugs and implementing features related to fiber functionality, including argument passing and testing. They added a `this_fiber::GetId()` interface and a Barrier class, enhancing the framework's capabilities for concurrent programming. Furthermore, the user made improvements to the code by adding constexpr qualifiers and removing redundant references, improving code quality and efficiency.
rpcflare
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