Software Engineer with dual background in Mathematics and Computer Science. Specializes in high‑scale financial systems, regulatory compliance, and cost‑efficient system design. Proven track record in building transactional integrity, deep‑learning modules for cost optimization, and automated fraud detection in FinTech.
Work
Ajaib
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Back End Engineer / Technical Consultant
Jakarta, Jakarta, Indonesia
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Summary
Supported engineering continuity and logic auditing for core integration systems. Designed Java‑based bank settlement system using Kafka and DB partitioning, and built Golang parallel processing service deployed via Kubernetes CronJobs. Maintained both Ajaib (Java) and Whiz (TypeScript) codebases to ensure transactional stability for 50K MAU.
Highlights
Designed bank settlement system with Kafka and DB partitioning.
Built Golang parallel processing service with Kubernetes CronJobs.
Maintained dual codebases ensuring system stability.
Whiz (PT MidazPay Digital Indonesia)
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Software Engineer
West Jakarta, Jakarta, Indonesia
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Summary
Led high‑impact backend engineering initiatives to scale platform performance and reduce operational cost. Developed high‑scale integration to liquidate RDN into Whiz e‑wallet supporting 3× user growth, built a Python‑based deep‑learning receipt OCR module reducing cost by 80%, and implemented automated fraud detection logic identifying and blocking 3.5% fraudulent users.
Highlights
Engineered RDN‑to‑e‑wallet backend integration, tripling user base.
Built deep‑learning receipt module in Python, cutting OCR vendor costs by 80%.
Developed fraud‑detection logic auto‑blocking 3.5% fraudulent users.
Kasual
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Full‑stack Developer
Jakarta, Jakarta, Indonesia
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Summary
Streamlined marketing workflows by standardizing landing page templates, reducing time‑to‑market for marketing experiments. Developed data processing scripts converting raw sales data into actionable insights, supporting growth strategies.
Highlights
Standardized landing‑page templates to accelerate marketing experiments.
Built data pipelines to derive actionable sales insights.
BINUS University
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Research Assistant
Jakarta, Jakarta, Indonesia
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Summary
Developed deep learning models for satellite imagery analysis, achieving ~90% test accuracy for palm tree recognition. Led technical workshops on end‑to‑end model training pipelines.
Highlights
Developed palm tree recognition model with 90% accuracy.
Conducted technical workshops on model training.
Bina Nusantara IT Division
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Junior Programmer
Jakarta, Jakarta, Indonesia
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Summary
Maintained the university’s Learning Management System, fixing critical bugs for reliability. Developed a digital thesis submission module to modernize manual workflows.