Ramadhan Akbar
AI Developer (Computer Vision) at AssistX Enterprise
New Territories, Hong Kong SAR
Summary
👤
Senior🎓
Top SchoolRamadhan Akbar is an AI developer specializing in computer vision with eight years of experience building production-grade, high-performance vision systems across cloud and edge environments. He has delivered competitive ANPR and boosted stream product FPS by up to 22% at AssistX, and previously improved GPU stability, halved memory use, and cut stateful AI service launch time by 85% at Nodeflux. His background blends mechanical engineering training from Institut Teknologi Bandung with hands-on expertise in PyTorch, OpenCV, modern C++, Kubernetes, and MLOps, enabling him to span hardware, model, and infrastructure concerns. He has practical experience in dataset quality, model drift monitoring, and CI/CD-driven testing, and contributed to a NIST face recognition test submission—an indicator of production-focused accuracy work. Based in Hong Kong, he’s currently building an automated car damage inspector that combines lighting and hardware engineering with vision models, reflecting a rare cross-disciplinary skill set.
8 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at Institut Teknologi BandungBertelsmann Technology Scholarship Program AI Track, Bertelsmann Technology Scholarship Program AI Track at Udacity
Github Skills (18)
edge-computing8
artificial-intelligence7
container7
decentralized-applications7
extensible7
docker7
serverless7
webassembly7
smart-contracts6
embedded6
high-performance6
kubernetes6
cloud-native5
rust5
iot5
Programming languages (1)
Github contributions (5)
itsme-ranger/ArUco-marker-displacement-measurement
Jul 2019 - Jun 2020
Contributions:29 commits, 18 pushes, 2 branches in 11 months
itsme-ranger/SGNet.pytorch
Apr 2024 - Aug 2024
Pytorch Implementation for Stepwise Goal-Driven Networks for Trajectory Prediction (RA-L/ICRA2022)
Contributions:1 PR, 3 pushes, 2 branches in 4 months
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