Adhika Pramudita
Lead Software Engineer - AI Enablement at Grab
Special Capital Region of Jakarta, Singapore
Summary
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Rockstar🎓
Top SchoolAdhika Pramudita is a Lead Software Engineer with 11 years of experience specializing in AI enablement, merchant-focused AI products, and developer experience for large-scale web platforms. Based in Jakarta and working through Singapore, he has driven end-to-end delivery of merchant AI assistants, real-time data ingestion, and cloud migration efforts at Grab while championing generative AI adoption and SRE practices. His earlier R&D work at Blibli built high-throughput microservices, unified API gateways, and CI/CD infrastructure that served hundreds of endpoints and millions of requests, reflecting a strong practical focus on performance and reliability. An active open-source contributor to coala, he developed aspect-based linting and improved linters like ShellCheck and Mypy, showing a long-standing interest in tooling that improves code quality. Known as a hands-on engineering leader and mentor, he blends system-level Linux and backend expertise with a curiosity for pragmatic AI integration in product ecosystems.
11 years of coding experience
5 years of employment as a software developer
MIPA - Akselerasi, MIPA - Akselerasi at SMA N 3 YogyakartaSarjana Teknologi Informasi Teknik Elektro dan Teknologi Informasi, Sarjana Teknologi Informasi Teknik Elektro dan Teknologi Informasi at Universitas Gadjah Mada
Indonesian, Indonesian
Stackoverflow
1reputation
0reached
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Github Skills (10)
linter10
code-analysis10
lint10
pytest10
python10
testing10
refactoring9
shell9
java5
javas5
Programming languages (16)
Github contributions (5)
coala/coala
Apr 2017 - Aug 2017
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:41 commits, 24 PRs, 217 comments in 4 months
Contributions summary:Adhika primarily contributed to the `coala` project by implementing and refactoring aspects-related features. This involved creating and modifying classes like `aspectlist`, `AspectList`, and enhancing the aspect system with functionalities like `get()` and `get_leaf_aspects`. They also introduced aspects-related exceptions and integrated aspects into the section configuration, enhancing how coala handles and utilizes aspects within the project.
fixinglinterlintpythonwindows
coala/coala-bears
Mar 2017 - Aug 2017
Bears for coala
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 4 PRs, 55 comments in 5 months
Contributions summary:Adhika primarily contributed to the `coala-bears` repository by implementing and refining various code analysis tools, particularly those related to linting and code style checking. They expanded the functionality of existing bears like `ShellCheckBear` and `MypyBear` by adding features such as ignoring specific linting rules and correctly using the language setting. Furthermore, the user improved the version checking mechanism and refactored code, showcasing a focus on improving the quality and maintainability of the project.
linterpythonbearsgenericlanguages
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