Abdul Fatah
Iot & Machine Learning Engineer @Universitas Gunadarma
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WORK HISTORY
Iot & Machine Learning Engineer @Universitas Gunadarma
Depok, ID
Aerial Computer Vision & VLMs: Architected high-accuracy Drone Computer Vision pipelines utilizing custom YOLO models and the MS COCO dataset for real-time aerial object tracking; integrated Vision-Language Models (VLM) to pioneer intuitive robotic perception. Generative AI & Interface: Deployed Avatar AI frameworks to humanize robot-user interaction, synchronizing neural video/lip-sync generation with intelligent robotic responses. ROS & Motion Control: Programmed ROS (Robot Operating System) environments to execute advanced motion planning, trajectory tracking, and inverse kinematics for robotic arms and autonomous flight systems. Additive Manufacturing & CAD: Designed lightweight, aerodynamic structural components optimized for 3D Printing (Additive Manufacturing) using SolidWorks and AutoCAD, ensuring rapid prototyping and rigorous electrical-mechanical integration.
EDUCATION
SMK Penerbangan Angkasa Bogor
Electrical Avionik
Universitas Gunadarma
Bachelor of Technology
ABOUT ABDUL FATAH
As an AIoT and Machine Learning Engineer, I specialize in intersecting intelligent hardware with data-driven software solutions. My expertise spans the entire life cycle of smart systems—from engineering resilient IoT architectures to building and deploying advanced machine learning models (Regression, Clustering, and Deep Learning) for complex pattern recognition. I thrive on transforming large-scale data into efficient, automated, and intelligent solutions for real-world challenges. Driven by continuous innovation and collaboration, I am always looking to push the boundaries of connected technologies. Technical Portfolio: https://github.com/Imamabdulfatah
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