Rizky Luthfianto
Lead Data Scientist
Special capital Region of Jakarta, Indonesia
Summary
👤
Senior🎓
Top SchoolRizky Luthfianto is a Lead Data Scientist with 13 years of experience building optimization and machine learning systems for finance, logistics, telecom, and consumer platforms across Indonesia. He designs and deploys production ML solutions—ranging from routing and allocation optimizers to AML, fraud detection, credit scoring, and personalized recommendation engines—while also leading teams and MLOps efforts. At DANA he spearheaded GenAI cyber patrols and graph-based fraud ring detection that materially cut fraud and ATO risks, and previously delivered network-capacity simulators and salesforce routing optimizers at Telkom and Bizzy. A hands-on engineer comfortable with convex optimization (CVXPY), OR-Tools, feature stores and large-scale pipelines, he also contributes to prominent open-source projects like Servo and rust-bio, reflecting breadth from front-end DOM work to bioinformatics scoring matrices. Based in Jakarta, he blends rigorous engineering with product-focused impact and a knack for translating complex business rules into configurable, auditable models.
13 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Universitas Gadjah Mada (UGM)
English, Indonesian
Stackoverflow
1,786reputation
937kreached
15answers
15questions
Github Skills (23)
webbrowser10
algorithm10
algorithms10
web-platform10
browser10
data-structure10
dom-manipulation10
html10
data-structures10
bioinformatics10
rust10
javascript9
jscript9
script9
testing8
Programming languages (16)
Github contributions (5)
servo/servo
Nov 2015 - Apr 2016
Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:9 commits, 11 PRs, 64 comments in 5 months
Contributions summary:Rizky contributed to the Servo project by implementing and refining web platform features. Their work involved modifying DOM interfaces, specifically implementing `elementFromPoint` and `elementsFromPoint` methods in the `Document` interface. They also refactored code related to HTML elements and moved functionality within the codebase, including addressing the availability of viewports for elements.
browserrustjavascriptbrowser-engineservo
rust-bio/rust-bio
Nov 2015 - Nov 2015
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 commits, 7 PRs, 8 comments in 17 days
Contributions summary:Rizky primarily contributed to implementing and testing score matrices for bioinformatics algorithms. Their work involved adding and refining score matrix implementations like BLOSUM62, PAM250, PAM40, PAM120, and PAM200. The user also wrote tests to ensure the accuracy of these score calculations and fixed related lookup function errors. Additionally, they enabled the "scores" module.
implementationspythoncontinuousalgorithms-and-data-structuresbioinformatics
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