AI / Computer Vision Engineer
Real-time
computer vision
systems forreal-world use.
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About
Laudwika
Computer Vision Engineer
I build computer vision systems that actually run in the real world, mostly around people, cameras, and edge devices.
My work sits between research and deployment. I train models, test different approaches, and then make them efficient enough to run in real scenarios where conditions are not ideal.
I've worked across both face-related and body-related systems. That includes detection, verification, keypoints, behavior, and action understanding, along with building the data and tools needed to support them.
I did my MSc in Artificial Intelligence in South Korea, where I also worked on synthetic face generation. One of those projects led to my IEEE Access paper, SegTex: A Large Scale Synthetic Face Dataset for Face Recognition .
Outside of work, I like cats, movies, video games, and music. Coding feels like solving puzzles to me. There is usually a clean solution somewhere, and finding it is the part I enjoy most.
Timeline
Suprema
I worked on body-related computer vision tasks like keypoints and detection, then used that information for more specific behavior and action-based tasks. I researched and implemented state-of-the-art approaches, then trained and distilled them to run on edge devices while keeping similar accuracy.
Inha University
I worked on face-related systems, including training and implementing verification and recognition models. I also built a separate pipeline that could generate human faces for Unreal Engine Metahumans from images.
Separately, I worked on synthetic face generation from human attributes, which led to my IEEE Access paper, SegTex: A Large Scale Synthetic Face Dataset for Face Recognition .
Samsung R&D Institute Indonesia
I started in QA doing manual testing, then built a web app for automation testing that improved efficiency by 12%.
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If you want to work together, collaborate, or just talk about projects.