Senior AI & Manufacturing Systems Engineer with a foundation in Engineering Physics, combining industrial automation expertise with advanced Generative AI evaluation and vision intelligence. Currently leading GenAI QA and RAG optimization initiatives at Lippo Malls Indonesia, implementing automated evaluation pipelines using n8n, Zapier, OpenAI Evals, and RAGAS for high-precision model benchmarking and ethical compliance. Previously at Philips, developed and deployed AI-powered vision inspection systems for precision manufacturing, integrating YOLOv11, RD4AD anomaly detection, and custom CNN diagnostic models under strict IQ–EQ and 3C validation protocols.
Founder and Technical Lead at Nexus Tagmemic, delivering applied AI solutions for ophthalmic diagnostics (cataract and glaucoma) and contributing to LLM optimization, prompt engineering, and feedback governance at KUPU.ID. Experienced in building multi-agent AI frameworks with DSPy, LangChain, and OpenRouter, leveraging TensorFlow, PyTorch, and OpenCV for production-grade vision systems. Adept at uniting deep learning, control systems, and robotics including ABB robot integration, PLC programming, and Keyence/Omron calibration to achieve seamless automation and intelligent decision-making.
Certified across IBM AI, AWS, Azure, and Hugging Face, with proven success in deploying AI systems that meet rigorous industrial, clinical, and ethical standards. A cross-disciplinary innovator bridging GenAI, automation, and real-world engineering, driving transformation across healthcare, manufacturing, and enterprise AI ecosystems.