Software engineer thats work with data.
Five years on enterprise applications, ERP, logistics engines, and insurance portals—JavaScript, Python, PHP, TypeScript, SQL, Laravel, Express, Flask, Spring Boot, Docker, and major RDBMS—with a current focus on AI-assisted workflows and reliable data pipelines alongside product delivery.
Logistics & ERP stack
SOLOG internal ERP, CTMS for 500+ maritime and port containers, shared role-based security, fleet tracking with real-time location and documentation, and IT standardization—patterns built in production at Trans Continent.
Operational scale
Containers tracked in CTMS and students served by the LMS built at Gunadarma—systems engineered for real operational and academic load, not demo traffic.
Data platforms
Relational warehouses and corporate data stores across insurance, logistics, and scheduling domains—same stack families called out on my CV.
- SQL SERVER · POSTGRES · ORACLE · HANA
- SQL · ETL · PYSPARK (WHERE NEEDED)
Portals & modules
Dual-sided eProcurement, eAudit, eStock, customer data agreements, and partner-facing workshops—Laravel, Express, Flask, and Spring Boot services behind consistent REST-style delivery.
Workshop → eAudit → eStock → eProcurement
roles + policies enforced per tenant
audit trail + compliance hooks
Dynamic Scheduling Automation System (DSAS)
Delivered DSAS for Pertamina while at Semesta Energy Services (software architect, April 2025 – December 2025) to automate dynamic scheduling and optimize distribution planning for crude oil, LPG, and fuel products—connecting operational constraints with a maintainable automation layer.
Practice stack
- Python · .Net Core · SQL
- Jupyter Notebook · PySpark
- Docker · Git · Jira
Outcome focus
- Optimized hydrocarbon distribution plans
- Reduced manual scheduling interventions
- Aligned stakeholders on auditable workflows
Technical ecosystem
Languages, frameworks, and platforms from my CV—JavaScript to Python, Laravel to Spring Boot, and the data stores I use in production.