Hanbeom Park
Head Of Client Solutions at TikTok
South Korea
Summary
👤
Senior🎓
Top SchoolHanbeom Park is a data-driven client solutions leader with 11 years of cross-industry experience spanning conglomerates, startups, and big tech, currently Head of Client Solutions at TikTok Korea. He has a strong track record scaling revenue and product adoption—driving the largest share of TikTok GBS KR revenue in growth and delivering a +518% YoY lift for major gaming clients—while doubling as a hands-on analyst who built internal dashboards and churn monitoring systems. Comfortable managing diverse verticals from ecommerce to healthcare, he combines B2B/ad sales expertise with practical marketing operations honed earlier at RiderDash and Hyundai. A linguist by training with international study experience in Germany, he brings clear communication and cultural fluency to client partnerships. Less obvious: he contributes to performance-critical open-source compiler and tracing projects (LLVM, uftrace), reflecting deep backend and optimization skills beyond his client-facing role. Based in Seoul, he blends strategic leadership with low-level technical rigor to bridge business goals and engineering execution.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, English Language and Literature/Linguistics, 4.06/4.5, Bachelor’s Degree, English Language and Literature/Linguistics, 4.06/4.5 at Korea UniversityHigh School, German Language and Literature, High School, German Language and Literature at Daewon Foreign Language High SchoolExchange Student, English Literature & Linguistics, Exchange Student, English Literature & Linguistics at Albert-Ludwigs-Universität Freiburg
English, German, Korean
Stackoverflow
233reputation
24kreached
15answers
4questions
Github Skills (32)
comb10
assembly10
c-language10
tracer10
llvm10
i38610
vectorization10
code-generation10
compiler-optimization10
arm10
rust10
instr10
cprogramming-language10
trace10
debug9
Programming languages (8)
Github contributions (5)
llvm/llvm-project
Apr 2021 - Mar 2025
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Back-end Developer & Compiler Optimization
Back-end Developer & Compiler OptimizationContributions:144 reviews, 35 PRs, 313 comments in 3 years 11 months
Contributions summary:Hanbeom's commits primarily focus on compiler optimization techniques within the LLVM project, particularly the InstCombine and AArch64 code generation components. Their work includes implementing and refining optimizations such as removing redundant instructions, converting between instruction sets (e.g., MOV to ORR), and simplifying code involving bitwise operations. The contributions improve code generation efficiency, reduce code size, and enhance the overall performance of compiled programs. Moreover, the user demonstrates expertise in vectorization, implementing code to handle select and shuffle operations.
compilerstechnologiesclangsubmittoolchain
namhyung/uftrace
Nov 2017 - Nov 2020
Function graph tracer for C/C++/Rust/Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 reviews, 50 commits, 48 PRs in 3 years
Contributions summary:Hanbeom made significant contributions to the `uftrace` project, focusing on enhancing its core functionalities and supporting new architectures. The user addressed bugs in test cases related to memory allocation and compiler optimizations. They implemented features to support the i386 architecture, including mcount instrumentation and dynamic tracing. Additionally, the user refined existing code, addressing compiler warnings and improving code clarity for better maintainability and broader compatibility.
cpprusttracingfunction-graphtrace
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