LECTURER • DATA ENGINEER • RESEARCHER
Building Intelligent Systems, and predictive infrastructure
Information Systems Lecturer and Data Engineer at BINUS University focused on AI systems, machine learning, predictive analytics, data visualization, and scalable infrastructure across education, sustainability, and financial systems.
ABOUT ME
Bridging AI, research,
and scalable systems
for real-world impact.
I design intelligent systems, predictive analytics pipelines, and scalable infrastructure that transform research, data, and automation into practical solutions across education, sustainability, and digital ecosystems.
My research interests span machine learning, data visualization, human-computer interaction, systems engineering, financial intelligence, and AI-driven decision support for multidisciplinary environments.
Data Engineering
Predictive Analytics
Machine Learning
Research Infrastructure
Data Visualization
Database Systems
Workflow Automation
Scalable Data Pipelines
Decision Support Systems
Python
FEATURED PROJECTS
Selected work & technical explorations
Research systems, automation pipelines, AI infrastructure, and engineering projects focused on scalable workflows, analytics, and intelligent systems development.
Competitor Data Extraction
Enterprise-scale competitor intelligence extraction pipeline using Python automation, distributed scraping workflows, and database integration for structured large-scale data collection.
Indonesia Research Scrapper
Research aggregation system designed to collect and structure Indonesian research data from multiple large-scale sources into centralized database infrastructure for analytics and monitoring.
Competitor Dashboard
Interactive competitor analytics dashboard built with Tableau to deliver strategic business insights, comparative monitoring, and large-scale visualization from aggregated intelligence datasets.
Agentic AI for Internal Teams
Ongoing agentic AI platform development for internal team collaboration, enabling intelligent analysis, contextual discussion, and knowledge interaction across organizational datasets.
Algorithmic Trading System
Automated multi-asset trading system featuring custom algorithmic strategies, dynamic risk management, and execution automation for XAU, cryptocurrency, and stock market trading.
EXPERIENCE
Building systems, research,
and infrastructure
through academia and engineering.
2023 — Present
Lecturer - Assistant Professor
BINUS University
Teaching, conducting multidisciplinary research, and contributing to academic ecosystem development in Information Systems, AI-driven analytics, predictive systems, and scalable digital infrastructure.
Teaching
- Teaching Information Systems, analytics, UI/UX, and business technology subjects
- Designing project-based and research-oriented learning environments
- Mentoring students in system development and analytical problem-solving
Research
- Conducting multidisciplinary research in AI systems, predictive analytics, and machine learning
- Researching education technology, sustainability, financial intelligence, and data-driven decision systems
- Developing intelligent systems and scalable research infrastructure
Community Service
- Participating in academic and technology-sharing initiatives
- Contributing research and technology knowledge to education and digital society programs
Professional Development
- Actively developing expertise in AI systems, data engineering, and intelligent automation
- Building scalable workflows, predictive analytics systems, and research automation pipelines
2022 — Present
Institutional Data Engineer
BINUS University
Managing institutional external data systems, analytical infrastructure, and automation pipelines to support strategic decision-making, university benchmarking, and research intelligence initiatives.
Responsibilities
- Managing institutional external datasets including university competitors, student intake, and academic research data
- Designing analytical dashboards and reporting systems using Tableau
- Evaluating and optimizing external data warehouse structures
- Performing data mining, cleansing, and institutional analytics processing
- Developing crawling and automation systems for institutional research and ranking data
- Supporting scalable data infrastructure and strategic analytics initiatives
2019 — 2022
Laboratory Assistant
Information Systems Laboratory • BINUS University
Supporting academic laboratory operations through teaching assistance, technology prototyping, business analytics practices, and multidisciplinary digital projects.
Responsibilities
- Teaching UML, UI/UX, SAP, and business analytics practical sessions
- Designing personas, wireframes, user journeys, and interactive prototypes using Figma and Axure
- Teaching business intelligence and analytical tools including Tibco Spotfire
- Participating in business case, UI/UX, and technology competitions
- Developing educational prototype systems and MOOC-based learning materials
- Supporting students in systems analysis and project development activities
ECOSYSTEM
Platforms & Infrastructure
Research platforms, automation systems, APIs, and AI infrastructure designed to support supervised student research, academic experimentation, and collaborative professional development.
(Existing) n8n Automation
Workflow automation environment used for supervised research activities, backend orchestration, data processing, and academic system integrations.
API Gateway
Centralized API infrastructure connecting research systems, automation services, academic platforms, and backend integrations.
Database Portal
Internal data management platform designed to support research datasets, publication systems, and scalable academic infrastructure.
(NEW!) n8n Automation
Next-generation intelligent automation platform currently being redesigned to support scalable AI workflows, research pipelines, and collaborative experimentation.
AI Platform
Experimental AI environment for LLM integration, machine learning workflows, intelligent agents, and student-driven research development.
Application Hub
Centralized collection of internal applications, utilities, dashboards, and experimental tools for research and collaborative development.