Jiradet Ounjai
Software Engineer at EarnIn
Bangkok, Thailand
Summary
👤
Senior🎓
Top SchoolJiradet Ounjai is a full-stack software engineer based in Bangkok with 10 years of experience building web and mobile products using Java, JavaScript, Ruby, Rails, React.js and React Native. He has led engineering efforts across ecommerce, livestream commerce, payment gateways and warehouse automation, and currently contributes to EarnIn after senior and lead roles at startups and outsourced teams. His background includes research and fuzzing work—contributing to Google's FuzzBench and GraphicsFuzz—which signals a strong focus on robustness, automated testing and DevOps-level tooling. Comfortable spanning frontend, backend and mobile, he combines product-minded engineering with hands-on infrastructure improvements that accelerate delivery and reliability.
10 years of coding experience
7 years of employment as a software developer
European Masters Programme in Software Engineering (EMSE) | Double degree, European Masters Programme in Software Engineering (EMSE) | Double degree at Free University of Bozen-BolzanoEuropean Masters Programme in Software Engineering (EMSE) | Double degree, European Masters Programme in Software Engineering (EMSE) | Double degree at RPTU Kaiserslautern-LandauBachelor's degree Information and Communication Technology, Bachelor's degree Information and Communication Technology at Khon Kaen University
English, Thai
Github Skills (10)
fuzzing10
docker10
dockers10
cicd10
afl-fuzz10
security9
benchmark9
benchmarking9
python8
bash7
Programming languages (11)
Github contributions (5)
google/fuzzbench
Jun 2021 - Jul 2022
FuzzBench - Fuzzer benchmarking as a service.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:9 reviews, 11 commits, 13 PRs in 1 year 1 month
Contributions summary:Jiradet primarily contributed to enhancing the fuzzing infrastructure within the `google/fuzzbench` repository. They introduced new experiments and configurations for various AFL (American Fuzzy Lop) and AFL++ fuzzers, including the setup for random parameters and new experiment requests. Additionally, they modified Dockerfiles to incorporate AFL-related tools and instrumentation, indicating a focus on build and testing automation. Furthermore, they added a new option for custom seed corpora and parameterized snapshot periods.
benchmarkingsecurityevaluationfuzzingbenchmark-framework
Practical-Formal-Methods/AFL-public
Jun 2021 - Sep 2021
american fuzzy lop - a security-oriented fuzzer
Contributions:7 reviews, 47 commits, 17 PRs in 3 months
security-toolsfuzzysecurityfuzzingfuzzer
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