Timothius Tirtawan
Senior IT Specialist · Surabaya, Indonesia
87.5%annual maintenance cost cut
6+years in banking software
~30%man-days saved via vendor negotiation
IEEEpublished author, deep learning
Summary
Team lead of the Online Loan Origination application (Core Loan Application) at PT Bank Central Asia Tbk (BCA). Full-stack developer in Java, Spring Boot, Angular, Python and PostgreSQL, delivering microservices on Red Hat OpenShift. Strong in re-architecture, vendor negotiation, capacity planning and mentoring.
Experience
Senior Information Technology Specialist, Core Loan Application
- Lead the Online Loan Origination team: customer-facing digital loan apps on Angular and Spring Boot microservices, Red Hat OpenShift.
- Cut annual maintenance cost 87.5% (IDR 2 billion to IDR 250 million) by re-architecting fragmented microservices and micro frontends into domain services: transaction, workflow, session, master data, API gateway.
- Negotiated with IT vendors: better SLAs and about 30% fewer project man-days.
- Translate business requirements into functional specs; plan manpower and capacity across internal and vendor developers.
- Onboard and mentor new engineers on codebase, banking domain and practices.
Information Technology Specialist
- Built and maintained full-stack loan origination apps: Java, Spring Boot, Angular, PostgreSQL.
- Containerized and deployed microservices on Red Hat OpenShift.
- Designed relational schemas and optimized SQL for loan processing.
- Worked with business, testers and operations across the full SDLC.
Skills
- Languages
- JavaPythonTypeScriptSQL
- Frameworks
- Spring BootAngular
- Data
- PostgreSQLRDBMS
- Platform & DevOps
- Red Hat OpenShiftDockerMicroservicesMicro FrontendsAPI GatewaySoftware Architecture
- Machine Learning
- Deep LearningGANU-NetImage SegmentationTexture Synthesis
- Professional
- Team LeadershipRequirements AnalysisVendor NegotiationCost ReductionManpower PlanningMentoringAgile
Publication
T. Tirtawan, E. K. Susanto, P. C. S. W. Lukman Zaman, Y. Kristian, "Batik Clothes Auto-Fashion using Conditional Generative Adversarial Network and U-Net," 2021 3rd EIConCIT, pp. 145-150, IEEE. DOI 10.1109/EIConCIT50028.2021.9431867
- CGAN with U-Net segmentation: 80.20% F1, 70.32% Jaccard Index; texture synthesis: 99.992% cosine similarity.
Education
Bachelor of Computer Science · 2019
Languages
Indonesian (Native) · English (Business Level)