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Senior ML Engineer at Kredivo | Building decision systems across fintech, govtech, and edtech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I build the systems that make the decision. Credit approvals in milliseconds. Resource allocation for 200K+ schools. Underwriting logic for used car financing. Risk scoring for state-owned lenders. Across fintech, govtech, and edtech, the pattern is the same — take ambiguous business problems, design the data and ML systems behind them, and ship decision engines that run in production. Now doing it across country borders at Indonesia’s #1 BNPL.
University of Indonesia
Bachelor of Science - BS, Physics
August 1, 2014 – July 1, 2018
Kredivo Group
Senior ML Engineer
January 1, 2026 – Present
broom.id
Data Lead
December 1, 2023 – January 1, 2026
GovTech Edu
Data Analytics
February 1, 2021 – November 1, 2023
Zenius
Business Intelligence
July 1, 2019 – January 1, 2021
Zenius
Data Scientist
February 1, 2019 – July 1, 2019
Volantis Technology
Data Science Consultant
October 1, 2018 – January 1, 2019
Jakarta
PACMANN AI
Data Scientist
January 1, 2018 – October 1, 2018
PACMANN AI
Machine Learning Researcher
August 1, 2017 – December 1, 2017
Cultural Fit Analysis
The candidate has worked in diverse environments, from startups (broom.id, Zenius) to larger groups (Kredivo Group) and government (GovTech Edu), indicating adaptability. The roles span various aspects of data and ML, suggesting a broad interest and ability to fit into different team structures. The experience in building data teams aligns with a collaborative culture. However, the lack of detailed project descriptions limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's resume descriptions are brief, making it difficult to assess soft skills and operational fit comprehensively. However, the progression to Data Lead suggests leadership and team-building potential. The descriptions like 'Helping the engines run in new countries' and 'Building the data team to help unlock capital access' imply a results-oriented and strategic mindset.