About Me.

BIO

Telecommunications Engineering student at EEPIS Surabaya with hands-on experience in LTE/5G private network deployment (Open5GS, srsRAN), Edge AI computer vision (YOLOv11 + DeepSORT), and IoT-based monitoring systems. Currently a Research Intern at National Formosa University, Taiwan 🇹🇼, building UAV-based vehicle detection and traffic monitoring systems on Raspberry Pi 5.

My technical focus spans wireless communications, machine learning, signal processing, and embedded systems — combining hardware, software, and data to deliver real-world engineering solutions. I thrive in intercultural environments and international research settings.

EDUCATION

Electronic Engineering Polytechnic Institute of Surabaya

EEPIS · Surabaya · Diploma IV in Telecommunication Engineering

GPA: 3.6 / 4.0

2023 – Present

COURSEWORK

LTE & Mobile Communication Technology Telecommunication System Integration Digital Communication Optical Fiber Communication Signal Processing IoT Architecture & Embedded Systems

SMA Negeri 1 Widodaren

Ngawi · Senior High School — Science Major

2020 – 2023

SKILLS

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programming.py ⊕

Python C C++ Java Bash HTML/CSS/JS

Python Primary language for ML research (XGBoost, YOLOv11, DeepSORT), data preprocessing, and automation scripts.

C / C++ Used in embedded systems programming and IoT device development on Raspberry Pi.

Bash Linux system administration, network configuration scripts for Open5GS and srsRAN environments.

HTML / CSS / JS Frontend development for IoT dashboards (SimonLab) and this portfolio website.

networking.cfg ⊕

LTE / 5G Private Networks Open5GS & srsRAN (SDR) FTTH / GPON Design Protocol Stack (RRC, NAS, S1AP)

LTE/5G & Open5GS Built and tested private LTE networks using Open5GS EPC + srsRAN eNodeB on USRP SDR hardware.

FTTH Network Design Designed GPON-based FTTH network for 121 homes with AutoCAD drawings, capacity planning, and full BoQ.

Protocol Stack Analysis Validated LTE protocol layers (RRC, NAS, S1AP) through end-to-end network testing and attach debugging.

ai-ml.ipynb ⊕

YOLOv11 DeepSORT XGBoost Deep Learning Computer Vision

YOLOv11 + DeepSORT Real-time vehicle detection and multi-object tracking for UAV-based traffic monitoring at National Formosa University.

XGBoost Achieved 99.5% accuracy detecting money laundering in 6.3M+ e-wallet transactions for OJK research.

Deep Learning Developed predictive models for health indicators (NISTRO stroke detection system using MAX30102 sensor).

iot-systems.sh ⊕

Raspberry Pi 5 (Edge AI) UAV / Drone Systems Edge Computing IoT Sensor Integration

Raspberry Pi 5 / Edge AI Deployed YOLOv11+DeepSORT inference on Raspberry Pi 5 for real-time UAV-based traffic analysis.

UAV Systems Integrated aerial camera feeds with on-device AI for vehicle detection and illegal parking monitoring.

IoT Sensor Integration Developed real-time IoT monitoring dashboard (SimonLab) with API data polling and MAX30102 health sensors.

soft-skills.txt ⊕

Communication Team Collaboration Leadership Problem Solving Critical Thinking Adaptability Project Coordination

Leadership Led PENGMAS department at E-BIO, coordinating volunteers and managing community service programs for social impact.

Intercultural Communication Active in E2C (English Community) and currently working in an international research environment in Taiwan.

Project Coordination Managed secretariat division for E-BIO Career Development Program 2024, handling administrative and logistical aspects.

tools.sh ⊕

Linux / Ubuntu Git & GitHub AutoCAD / Google Earth Figma Microsoft Office Suite

Linux / Ubuntu Primary OS for SDR network configuration, ML model training, and Raspberry Pi development environments.

AutoCAD / Google Earth Used for FTTH network route mapping, technical drawing, and infrastructure planning.

Figma UI/UX design for SimonLab IoT dashboard with user-centered design approach.

LANGUAGES

IndonesianNative

EnglishIntermediate (B1–B2)

Mandarin ChineseBeginner (A1)