I'm

I am an AI Engineer with years of experience in designing and deploying deep learning solutions. Specialized in optimizing models for industrial applications, particularly in the mining sector, with expertise in object detection, segmentation, and image classification. Proficient in Python, TensorFlow, and PyTorch, with a strong focus on streamlining AI workflows for resource efficiency and scalability. Passionate about bridging cutting-edge research with real-world implementation, including generative AI and RAG for LLMs. Proven ability to deliver robust vision-based systems for challenging industrial environments. A collaborative team player committed to continuous learning and solving complex problems through innovative AI/ML solutions.

From: Pemalang, Central Java, Indonesia

Lives In: Jakarta, Indonesia

Age:

Gender: Male

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Education

Mechatronic Engineering Education (08/2017 - 02/2022)

Universitas Negeri Yogyakarta - Bachelor's degree

GPA: 3.52

Essay: Development of Object Detection Prototype Using TensorFlow Object Detection API and Google Colaboratory as Learning Media in Visual Sensing Robot Course

1st place Indonesian Wheeled Soccer Robot Contest at the National Level (2021)
3rd place Indonesian Wheeled Soccer Robot Contest at the National Level (2020)
2nd place Indonesian Wheeled Soccer Robot Contest at the Regional Level (2019)

Experience

Artificial Intelligence Engineer, PT. Safepedia Global Teknologi (04/2022 - Present)

AI Core Logging - PT. Freeport Indonesia

Developed a deep learning-based application for analyzing core photos from drilling operations.
Detected and analyzed key features on core images with segmentation and joint analysis.
Differentiated between natural and mechanical fractures based on images.
Built a user-friendly GUI to simplify input and user interaction.
Reduced RAM usage in processing deep learning models to improve performance.

GeoAI - Mind ID

Developed a mining land detection system using satellite imagery data and a custom YOLOv8-seg based segmentation model.
Measured mining area sizes with precise geospatial analysis.
Leveraged Google Colab, Makesense.AI, and segment-geospatial for data annotation, segmentation, and processing.

Geologging - PT. Antam

Built a quicklog application powered by deep learning for analyzing core photos from gold mining exploration.
Applied Detectron2 for core detection and segmentation, accelerating the geological logging process.
Developed deep learning application methods to increase effectiveness with limited resources.

Grain Counting Analysis - PT. Timah

Prepared a mineral rock image dataset to train a segmentation model with Detectron2.
Detected, counted rock types, and analyzed mineral content using predefined constants.
Optimized the model for resource efficiency and high accuracy in mineral analysis.

Freelance Mentor, Indobot Academy (10/2021 - 01/2022)

Assisted students of all skill levels in core subjects, including programming and electronics.
Delivered online course material about IoT.
Trained adult learners in classes, workshops, and via remote learning programs.

Computer Vision Programmer, UNY Robotics Team (10/2018 - 10/2021)

Developed an object detection system on a wheeled soccer robot using Python programming language, OpenCV library, and TensorFlow framework on Jetson Nano.