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Fandy Kuncoro AdiantoFA
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Fandy Kuncoro Adianto

@fandykuncoroadianto

Technical Lead at Jenius building lending products for millions, including a repayment engine that cut late payments by ~40%.

Indonesia
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At Jenius, PT Bank SMBC Indonesia, I own technical direction and end-to-end delivery for two lending products serving millions of users. I guide architecture across more than 30 backend services and integrations.

I built an automated repayment engine processing over 100K monthly transactions, reducing late payments by ~40% through scheduled customer charges and reliable repayment workflows. I also built Creditbility, a credit-limit allocation platform that reduced unused credit exposure by ~30%.

Earlier at Jenius, I engineered QR-based BNPL payments and loan-based checkout flows, improving monthly transactions and checkout success. In the ITS Robotics Team, I designed software architecture and built a 3D simulation platform for autonomous strategy testing.

Experience

Work history, roles, and key accomplishments

IC

Software Engineer Intern

Information System of ITS Campus

Jan 2021 - Dec 2021 (11 months)

Internship as a software engineer at the Information System of ITS Campus.

IT

Programmer Lead

ITS Robotics Team

Jun 2019 - Jan 2021 (1 year 7 months)

Designed and standardized the team's software architecture, improving development consistency. Optimized real-time data exchange between robots and built a 3D simulation and visualization platform.

IT

Programmer Member

ITS Robotics Team

Jan 2018 - Dec 2019 (1 year 11 months)

Member of the ITS Robotics Team contributing to autonomous robot soccer and computer vision projects.

Education

Degrees, certifications, and relevant coursework

Institut Teknologi Sepuluh Nopember logoIN

Institut Teknologi Sepuluh Nopember

Bachelor of Engineering, Informatics

2017 - 2021

Grade: 3.76 / 4.00

Activities and societies: Teaching Assistant of Programming Fundamentals and Data Structure

Pursued a Bachelor of Engineering in Informatics with a GPA of 3.76/4.00, including a thesis on drowsiness detection using deep learning.

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