Muhammad Sunarko is an AI Engineering Manager with 8 years of experience building production-grade AI, machine learning, and computer vision systems across smart city, RPAS imagery, and oil & gas domains. He blends hands-on model and pipeline development with team leadership, currently managing cross-product AI roadmaps and bringing prototypes to production at ESBAAR. His background includes designing high-throughput image decoding and deployment pipelines that materially cut costs and doubled GPU processing efficiency in prior roles. A Georgia Tech MS graduate, he has led scalable video analytics and edge deployments, and advised companies on MLOps, Triton, and inference-serving best practices. Based in Muscat, he’s as comfortable optimizing low-level image I/O as he is aligning AI research with product strategy to deliver measurable field impact.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Engineering Physics, Bachelor of Engineering - BE, Engineering Physics at Universitas Gadjah Mada (UGM)
Master of Science - MS, Computer Science, 4.00, Master of Science - MS, Computer Science, 4.00 at Georgia Institute of Technology
Simple Python / C++ interface to CSI camera connected to NVIDIA Jetson.
Contributions:2 releases, 14 PRs, 76 pushes in 7 months
jetsonpythonnvidiacameracsi-camera
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