About Me
Machine Learning Researcher with a strong background in machine learning, deep learning, and data-driven system design. Experienced in developing end-to-end AI pipelines, implementing neural network architectures (CNN, LSTM, Transformer, Autoencoder), and optimizing models for real-world deployment. Skilled in Python, TensorFlow, PyTorch, and data preprocessing, with hands-on experience integrating AI into practical applications such as prediction systems, intelligent sensing, and embedded devices. Passionate about building robust, scalable, and efficient AI solutions that drive automation and intelligent decision-making across diverse domains.
Curriculum Vitae
Education
Sejong University, Seoul, South Korea Mar 2024 – Feb 2026
(Expected)
Master’s in AI and Robotics, GPA: 4.14 / 4.50.
Thesis: Joint Beamforming and Localization using Multi-Task Deep Learning
Developed a CNN-based model using a soft parameter sharing approach with attention gates and designed an
adaptive filter for CSI dimensionality reduction, trained end-to-end with the model.
Gadjah Mada University, Yogyakarta, Indonesia Aug 2018 – Nov
2022
Bachelor of Electrical Engineering, GPA: 3.20 / 4.00.
Thesis: Development of Indirect Mass Reporting System through Twitter Based on NLP
Developed an SVM-based ML model to classify tweets as public service complaints or non-complaints in the
Yogyakarta region.
Experience
National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan Jul 2023 – Nov 2023
Research Assistant Intern, Center for IoT Innovation (CITI)
Developed a Fault Prediction System for Wind Turbine Generators using LSTM networks in Python (TensorFlow,
scikit-learn). Addressed data imbalance with SMOTEEN and implemented an Autoencoder with Attention layers,
achieving MAE = 1.36 and R² = 0.9.
PT. Lunar Inovasi Teknologi, Yogyakarta, Indonesia Dec 2022 – May
2023
Hardware Test Engineer
Designed and developed PCBs for power monitoring ICs (ADE9153A and RN8902C) integrated with an ESP32-S3
microcontroller and OLED display to create a Smart Power Metering product using Altium Designer.
PT. Lunar Inovasi Teknologi, Yogyakarta, Indonesia Sep 2022 – Nov
2022
Internship Program
Designed and developed a power monitoring minimum system board utilizing RN8209C, V9021, and V9021S ICs using
Altium Designer.
Publications
Journal of Communications and Networks (2025): CSI-Based Beamforming and Localization for Massive MIMO Using Deep Learning.
IEEE Access (2025): Multi-Task Deep Learning with Adaptive CSI Filtering for Joint Beamforming and Localization.
IEEE Access (2024): A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications.
Skills & Certifications
Technical: Python, C/C++, MATLAB, CNN, LSTM, Autoencoder, Attention Mechanism, AI Agents, ESP32, PCB Design (Altium, Eagle), Microcontrollers.
Certificates: DeepLearning.AI TensorFlow Developer Specialization
(2021)
View Certificate
Languages: English, Bahasa Indonesia
Portfolio
LLM Agent for Personal Finance (Telegram Bot)
Designed a LangChain-based LLM agent with tool calling, conversational memory, and PostgreSQL integration for finance tracking.
Adaptive CSI-Based Beamforming & Localization Model
Developed a deep learning framework for beamforming prediction and user localization from high-dimensional CSI in mmWave MIMO systems.
Multitask Deep Learning for ISAC-Based Beamforming & Localization
Developed a multitask deep learning model for beamforming selection and user localization using CSI.
Personal Finance Tracking Telegram Bot
Developed a Telegram bot for personal finance tracking using AI agents and PostgreSQL.
LaTeX Chunking & Translation
Created a Python-based pipeline for chunking, translating, and reconstructing LaTeX documents using LLMs.
PCB Designs
Collection of PCB designs for various projects, including power monitoring ICs and microcontrollers.