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Solution Architect, AIOps & Network AI. 2 years experience","fieldKeys":["display_name","headline","years_experience"]},{"id":"summary:0","type":"summary","ordinal":0,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Summary / 簡介: A solution architect with a strong background in mathematics and statistics, specializing in AI-assisted network management and AIOps. Experienced in developing RAG-based knowledge systems, real-time anomaly detection, and explainable AI models for telecommunications. Proficient in deep learning, self-supervised representation learning, and building scalable AI prototypes.","fieldKeys":["summary"]},{"id":"skills:0","type":"skills","ordinal":0,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Skills / 技能: Agentic AI, AIOps, Anomaly Detection, C++, Computer Vision, Containerlab, Cross-Validation, Docker, Explainable AI, FastAPI, FLAML, Forecasting, Git, LangChain, Linux, MCP, Network Automation, Network Telemetry, Optimization, PCA, Python, PyTorch, R, RAG, Regression, scikit-learn, Self-Supervised Learning, Simulation, Sparse PCA, Statistical Modeling, Telecom Network Management, TensorFlow, Time Series Analysis, XGBoost","fieldKeys":["skills"]},{"id":"discovery:0","type":"discovery","ordinal":0,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Role / 職稱: Solution Architect, AIOps & Network AI. Experience / 年資: 2 years experience. Expertise / 專長: Agentic AI, AIOps, Anomaly Detection, C++, Computer Vision, Containerlab, Cross-Validation, Docker, Explainable AI, FastAPI, FLAML, Forecasting","fieldKeys":["display_name","headline","years_experience","skills"]},{"id":"experience:0","type":"experience","ordinal":0,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Experience / 經歷: Solution Architect, AIOps & Network AI at Nokia. May 2026 to present. Serves as the technical bridge between customers and R&D for agentic AIOps, defining operational use cases and validating AI behaviors.","fieldKeys":["experiences"]},{"id":"experience:1","type":"experience","ordinal":1,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Experience / 經歷: Network Engineer, AI/ML Systems at Nokia. Nov 2024 to Apr 2026. Developed a RAG-based product knowledge system and an AI prototype for capacity intelligence using large-scale network telemetry data.","fieldKeys":["experiences"]},{"id":"experience:2","type":"experience","ordinal":2,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Experience / 經歷: Master Thesis Student, Trustworthy / Explainable AI at Ericsson. Jan 2024 to Jun 2024. Conducted research on generating interpretable rule-based explanations for black-box machine learning models applied to telecom HTTP-delay prediction.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Education / 學歷: M.S.. Statistics. National Yang Ming Chiao Tung University","fieldKeys":["educations"]},{"id":"education:1","type":"education","ordinal":1,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Education / 學歷: Exchange Program. Computer Science. KTH Royal Institute of Technology","fieldKeys":["educations"]},{"id":"education:2","type":"education","ordinal":2,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Education / 學歷: B.S.. Mathematics. National Tsing Hua University","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Project / 專案: Siamese Masked Autoencoder (SiamMAE) Reproduction. Built with / 使用技術: PyTorch. Reproduced SiamMAE to study self-supervised representation learning from video using UCF-101 and DAVIS-2017 datasets.","fieldKeys":["projects"]},{"id":"project:1","type":"project","ordinal":1,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Project / 專案: Deep Learning Coursework. Built with / 使用技術: PyTorch. Implemented various deep learning techniques including SimCLR, FixMatch, Grad-CAM, and integrated gradients.","fieldKeys":["projects"]},{"id":"project:2","type":"project","ordinal":2,"locale":"zh","text":"林宣廷 Jeremy. Solution Architect, AIOps & Network AI. Project / 專案: Camera-Based Self-Driving Robot. Built with / 使用技術: PyTorch, OpenCV, ROS. Developed a lane-following system using visual input and ROS-based robot control.","fieldKeys":["projects"]}]}