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Didi Ruhyadi

Computer Vision @ Widya Robotics




As a seasoned Computer Vision Engineer, I bring ~2 years of valuable experience in the AI industry. Currently, I contribute my expertise to Widya Robotics, where I play a pivotal role in developing and implementing advanced computer vision algorithms. During my tenure, I have made significant contributions to projects at well-known companies such as Alfabeta and Nodeflux.



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Widya Robotics

AI Vision Engineer

May 2023 - Now

    Led the development of end-to-end computer vision applications within the Nvidia environment. Focused on achieving optimal performance, I harnessed the capabilities of TensorRT and DeepStream for AI model optimization, ensuring seamless operation with low latency. Notable products/projects under my purview include:

  • Provided leadership and guidance to MSIB (Kampus Merdeka) AI Engineer Interns, contributing to their professional development and fostering a collaborative learning environment.
  • Led the conception and execution of the Coconut Counter AI Engine, an innovative computer vision application, demonstrating expertise in precision agricultural monitoring.
  • Led the development of a cutting-edge PPE Recognition system, leveraging advanced computer vision techniques to ensure comprehensive adherence to safety protocols.
  • Directed the development of the Skin Analyzer, a sophisticated computer vision application, showcasing a commitment to precision in dermatological analysis and healthcare solutions.
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Computer Vision Engineer

Sep 2022 - April 2023

    Specialized in development of end-to-end computer vision applications within the Intel Environment at Alfabeta, an official partner of Intel. Played a key role in building sophisticated computer vision applications optimized for Intel hardware covering CPU, iGPU, and GPU, seamlessly integrated through the application of OpenVINO. My experiences includes:

  • Contributed to the development of a License Plate Recognition (LPR) application with a focus on accurately identifying license plate numbers, along with associated vehicle attributes such as model, make, color, and orientation (MMCO).
  • Engaged in a project focused on the development of an application utilized by Unilever for the precise detection of forklifts and workers within restricted areas.
  • Contributed to the development of a Face Recognition for visitor management system (VMS).
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AI Engineer Intern

Feb 2022 - July 2022

    Embarked on my initial professional journey in the domain of AI engineering, specializing in Computer Vision. Under the mentorship of seasoned experts, I immersed myself in acquiring best practices for AI development. Notable internship projects include:

  • Contributed to the development of an innovative solution leveraging the Computer Vision Annotation Tool (CVAT) for the automatic data annotation supported by AI models.
  • Integrate CVAT with FiftyOne, DvC and Minio to create an end-to-end DataOps platform.


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Universitas Gadjah Mada

Engineering Physics (Image Processing)

Aug 2018 - Nov 2022

    Acquiring an academic foundation in Engineering Physics has equipped me with a profound understanding of fundamental engineering disciplines. This rigorous education served as the cornerstone upon which I cultivated a robust skill set, enabling me to evolve into a professional Computer Vision Engineer.

  • Member of Intelligent and Embedded System Research Group (InESys)




AI Framework