Computer Science and Mathematics student at BINUS University, building end-to-end systems across machine learning, IoT, spatial analysis and optimization.
I'm studying Computer Science and Mathematics at Bina Nusantara (BINUS) University in Jakarta, with a GPA of 3.85/4.00. Coursework in computational geometry, abstract algebra, real analysis, mathematical modelling and algorithm design shapes how I approach engineering problems.
My projects move between computer vision, NLP, embedded IoT and WebGIS — from YOLOv8-based traffic signal optimization to StaSIUN, a spatial intelligence platform for Jakarta's train stations. I'm looking for internships in Data Analysis, AI Engineering or GIS Engineering.
Core Governing Board, KMK BINUS University @Kemanggisan · Jakarta
Managed the flow and administration of the organization's incoming and outgoing documents — proposals, accountability reports, MoAs, MoUs, ToRs and meeting minutes — and monitored how division heads and their teams delivered departmental responsibilities and events.
Freshmen Mentor, First Year Program B28 BINUS University · Jakarta
Guided freshmen through BINUSian values, the BINUS Graduate Attributes and the SDGs, and helped them run a community service activity: “Clean and Affordable Energy Education: Raising School Students' Awareness of Sustainable Energy Use.”
Freshmen Mentor, First Year Program B28 BINUS University · Jakarta
Helped new students transition to campus life by introducing the university's environment, communities, activities, academic programs and resources, and encouraged active participation in academic and community life.
Bina Nusantara (BINUS) University, School of Computer Science · Jakarta
GPA 3.85 / 4.00. Relevant coursework: Computational Geometry, Abstract Algebra, Real Analysis, Mathematical Modelling, Cloud Architecture (AWS), Data Structures, Algorithm Design and Software Engineering.
Station Spatial Intelligence for Urban Network
A geospatial economic intelligence platform that scores Indonesian train stations — Jakarta MRT, LRT, KRL and BRT — with a five-variable Spatial Economic Potential Index, plus a multi-criteria pricing model for station naming rights.
Applied Mathematics Modelling · Undergraduate thesis research
YOLOv8 vehicle detection combined with Markov queueing simulation to optimize signal phase timings — about 2.9M detection records converted to PCU per PKJI 2023, calibrated against a ρ = 0.80 target, and tuned with Harris Hawks Optimization.
Embedded Systems & Internet of Things · Course project
A smart door-lock prototype on an ESP32 combining RFID authentication, ultrasonic proximity sensing and camera monitoring, with control logic in C++ and supporting software containerized in Docker.