Lawrence Berkeley National Laboratory, California, USA
June 2025 — August 2025
Developed an AI agent specialized in geothermal field development purposes by utilizing an agentic RAG workflow.
Hi I am Randy Harsuko
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a Ph.D. student in Earth Science and Engineering (ErSE) program at KAUST. My research focus includes seismic processing, deep learning, and seismic inverse problems. I am keen on developing my skills on programming and deep learning tools such as Python, PyTorch, Tensorflow, etc. Feel free to contact me to discuss about collaboration or job opportunities!
Python
Advanced
MATLAB
Intermediate
PyTorch
Advanced
TensorFlow
Intermediate
Microsoft Office
Advanced
Developed an AI agent specialized in geothermal field development purposes by utilizing an agentic RAG workflow.
Developed a Meta-Continual Learning framework for a seismic interpretation foundation model with the AI & Advanced Computing Team, EXPEC ARC.
Created insights from a big data cluster of one of the country's biggest state-owned enterprises using statistics and data visualization techniques.
Determined potential hydrocarbon reservoir region in Java Island, Indonesia using passive seismic waveform attributes and machine learning.
Identified potential reservoir region based on seismic multi-attrbute analysis on newly added development wells in Sumatera, Indonesia.
Working on deep learning applied to seismic data processing and inverse problems under Seismic Wave Analysis Group (SWAG) and DeepWave consortium.
Graduated with cumme laude, thesis on “Delineation of Shear Wave Velocity Structure Beneath Mataram City Using HVSR to Mitigate Earthquake Hazard”
Graduated with cumme laude, thesis on “Analysis of HVSR Curve to Estimate Earthquake Amplification and Seismic Vulnerability in Lombok Island, Indonesia”