An AI/backend engineer with nearly 3 years of experience in digital development and AI-related project experience using Python and related libraries to streamline mundane tasks. Seeking to leverage his skills in automation and AI technology to upsell company products and improve business process efficiency. Instrumental in digital transformation for streamlining the development process in the former department by providing the means to adopt a model-based approach with 3 times as productive as the previous result. Have published 2 research papers at international conferences and am actively creating projects related to AI technology.
diazoangga (diazoangga)
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| User Name: | diazoangga |
| Account Type: | Personal Account |
| Date Registered: | 01/03/2024 17:42:42 WIB |
| Last Seen: | 17/02/2025 00:50:22 WIB |
| Provinsi: | Jawa Barat |
| Kabupaten: | Kota Bekasi |
| Website: | https://diazoangga.github.io/portfolio-web/ |
| Online Hours: | 60.73 |
| Projects Won: | 0 |
| Projects Completed: | 0 |
| Completion Rate | - |
| Projects Arbitrated: | 0 |
| Arbitration Rate | - |
| Current Projects: | 0 |
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2021: This is a lane detection program implemented in CARLA Simulator. This program detects lanes and segments each of the lanes. I utilized BiSeNetV2 (Bilateral Segmentation Network V2) developed by Changqian Yu et al as explained in their paper: https://arxiv.org/abs/2004.02147 for the model architecture. For the data type itself, the model inputs an RGB image with the size of (256,512,3) and outputs a binary image consisting of lane or non-lane pixels and an instance segmentation image that consists of area segmentation for each lane. Both of the output images are multiplied by each other to get the final image of the detected lanes. Further explanation: https://github.com/diazoangga/lanenet-lane-detection
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