Muhammad Fadlan Al Farizi@muhammad_fadlan_al_farizi434
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Indonesia
2+ years of experience
About me
👋 Hello, a little about me I am a passionate Physics student with a strong background in Computer Vision and Artificial Intelligence, actively applying interdisciplinary skills across the surveillance and monitoring domains. I work extensively at the intersection of AI, IoT, and data systems to build intelligent, scalable, and production-ready solutions. 🎯 My Experience › Developed and deployed multiple solutions in the surveillance industry using computer vision algorithms such as YOLO and other PyTorch-based models › Optimized deep learning models for real-world deployment through pruning, quantization, and inference engine optimization › Hands-on expertise in Large Language Models (LLMs), agentic AI systems, and AI/ML data pipelines, including structured ML tables and vector-based workflows › Applied AI and data-driven approaches in telecommunications and monitoring environments, covering network-level observability, server-side systems, and operational intelligence › More than 2 years of experience across IoT, Computer Vision, and applied AI in production settings 💡 I thrive in multidisciplinary environments and enjoy bridging physics, AI, and engineering to solve complex, real-world problems. I am particularly interested in building intelligent systems that integrate perception, reasoning, and data at scale to transform security, monitoring, and telecommunications operations. ☎ I am open for a chat anytime! Feel free to reach out if you would like to connect, collaborate, or discuss ideas around AI, computer vision, LLMs, or intelligent monitoring systems.
