I am a software engineer who consistently leverages best practices to deliver robust, efficient software.
My expertise spans monitoring dashboard, system integration, and significantly contributed to transactional data orchestration systems.
For any questions, please reach out me on LinkedIn
Widya Analytic: Toba.AI
Role: Full-Stack Engineer Duration: 2 years
Toba.AI is Widya Analytic’s flagship product that leverages artificial intelligence for social media benchmarking, trend recognition, and text sentiment analysis. The system implements a robust ETL pipeline using Apache Airflow to crawl data from external sources, load data into a centralized data lake, and transform it into structured formats for downstream analysis.
Tech Stack
Frontend: Vue.js
Backend: Django REST Framework
Databases: PostgreSQL
Contributions
Engineered backend APIs to deliver analytical insights from Instagram account data, powering visualizations and metrics across the ‘Audiens’, ‘Kompetitor’, and ‘Performa’ dashboard.
Built complex query logic to perform multi-dimensional aggregation, including time-series breakdowns, sentiment tracking, and statistical number.
Ensured high-performance delivery of insights by optimizing query structures and schema designs (materialized view) within PostgreSQL to handle large-scale analytical workloads.
Capabilities Demonstrated
Skilled in designing and developing RESTful APIs that serve complex analytical data, enabling insight-driven user experiences through visual dashboards and metrics.
Experienced in crafting complex SQL queries to perform multi-dimensional data aggregation (data cube).