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Report abuseI build reliable systems across edge devices, AI, cloud infrastructure, and product software.
My work sits at the intersection of systems engineering, AI, and real-world products.
Recent work includes end-to-end software for intelligent diving hardware—from decompression algorithms and embedded systems to edge AI, mobile apps, cloud services, data infrastructure, and internal engineering platforms.
- Focus: Systems & Infrastructure, Edge AI, Computer Vision, Embedded-to-Cloud Architecture
- Previously: Intel and UbiQuant
- Education: M.S. in Computer Science, KAUST · B.E. in Software Engineering, Southeast University
- Interested in: Building technically ambitious products that connect software with the physical world
- Reliable systems: infrastructure, deployment, networking, observability, and developer tooling
- Intelligent devices: embedded software, algorithms, mobile applications, and cloud services
- Applied AI: computer vision, edge inference, model evaluation, and data pipelines
- End-to-end products: from early technical architecture to production and operational systems
Languages: C · C++ · Python · Go · TypeScript · Dart
AI: PyTorch · OpenCV · Edge Inference
Systems: Linux · Docker · Kubernetes · Networking · Storage
Product: Flutter · Web · Backend · Supabase · Cloudflare
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