AI/ML Engineer

I deliver data, machine learning, and software projects for enterprise and public-sector clients, taking engagements from discovery and scoping through deployment, monitoring, and maintenance. Most client work is confidential, with representative architectures available through public GitHub projects or on request.

I have built automated ML retraining pipelines, real-time monitoring and alerting systems, and multi-stage computer vision pipelines that improved accuracy over single-stage baselines. I manage the end-to-end MLOps lifecycle, including experiment tracking, model versioning, serving, observability, and anomaly detection. I have also delivered financial management systems with double-entry accounting, audit logging, and automated operational workflows.

I analyzed digital media performance across multiple platforms for public-sector communications teams. I performed exploratory data analysis to identify engagement trends and insights that informed campaign strategy.

I built dashboards and reports designed for non-technical decision-makers. These reporting tools helped stakeholders understand engagement data and take action based on measurable communication performance.

I supported a migration from legacy file systems to SharePoint during a data engineering internship. My work included assisting with the movement and organization of existing data assets.

I contributed to metadata standardization and data consistency checks to improve the quality and usability of migrated records. This work supported a more structured and reliable document-management environment.

GPA: 3.36 / 4.00. Completed through distance learning while working full-time. Previously transferred from UIN Syarif Hidayatullah Jakarta, where the candidate studied Computer Information Systems partially.