Abrar Shahriar is an AI Engineer based in Tokyo with 11 years of hands-on experience designing real-time CV and XR systems for IoT, AR/VR, and digital twin applications. He combines systems-level thinking and low-level optimization—converting Python to C/C++ and tuning GStreamer/NVIDIA DeepStream pipelines—to deliver 2–3× performance gains and low-latency deployments on multicore/GPU devices. Comfortable across Python, C/C++, TensorFlow, PyTorch and Unreal Engine, he has integrated cutting-edge tools like NVIDIA Omniverse Audio2Face into UE5 avatar pipelines and researched Gaussian Splatting NeRF for BIM visualization. His work spans both engineering and creative domains, producing 3D assets, processing scans into CC4 avatars, and leading mixed engineer/artist teams for trade-show demos and production releases. Internationally educated with a CS degree and fluency in Japanese context, he’s especially interested in bridging LLM-driven AI with hardware-aware, production-grade systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at American International University-Bangladesh
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