. To lead a team to analyze the market to plan a business model of an enterprise search with a Large Language Model 2. To lead a team developing the intelligent document understanding based on Rotated-YOLO and TrOCR 3. To lead teams developing a platform training deep learning models continously with the concept of active learning. 4. To lead teams developing a high availability architecture with RabbitMQ, Redis, and Kubernetes. TPIsoftware - R&D Manager，2021//06 1. To lead a team building packages in Python of AI tools for the training

MySQL MongoDB DevOps Docker Git, SVN Linux Work Experience National Yang-Ming Chiao-Tung University, AugPresent Full-stack engineer Built 76 microservices, starting from designing architectures and building features into scalable components. Designed and handled monthly 30k+ Restful APIs by Nodejs on Ubuntu, Docker requests. Built an AI model in machine learning for readmission, resulting in an AUC of 66% (updated research) to 80%. Constructed and maintained 8 physical and cloud servers for all services. Integrated 10 Python AI models (input includes high-quality medical images and structured data) to Restful APIs and web services

Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan azsxdc88188@gmail.com Current Position: AI Team - Software Engineer at the Central Weather Bureau, specializing in machine learning. Tasks include image generation, numerical prediction, data calibration, recommendation systems, and text generation using data from satellites, radar, and geographic information. I stay updated on AI advancements by studying research papers and implementing new approaches into projects. Recently, I've focused on deploying Large Language Models (LLM) in customer-oriented chatbots. Proficient in Docker for establishing and maintaining development environments, deploying projects to client environments.

fraudulent accounts based on transaction data, restricting transactions in advance to prevent harm. Responsibilities/Achievements: Development and deployment of credit card and financial features. Managing the data flow process from receiving variables to model predictions, identifying risk factors, and updating alert lists. Implemented Autoencoder + contrastive learning to achieve a 1.81% improvement in model effectiveness. Coupon Recommendation Objective: Personalized coupon recommendations for mobile banking users to increase click-through rates and redemption rates. Responsibilities/Achievements: Utilized multi-task learning to simultaneously predict click-through behavior and coupon redemptions, resulting in a

膏印刷點位分群(k-means)，監控異常 優化SPC告警系統 屏幕白平衡RGB調整 屏幕透過調整RGB，測試不同色溫白平衡是否合規 透過機器學習降低調整次數 工作經歷Work Experience 順豐科技公司 SF Technology, Machine Learning Engineer, Aug 2021~Jul 2022 搭建中國各省 、城市 、營業點 、社區 的收派包裹數

Deploying and maintaining core GCP services: * Firewall, Cloud Armor, Security Command Center. * GKE Autopilot mode, Standard mode, Cloud run. * Cloud SQL for MySQL, Cloud Memorystore for Memcached/redis, AlloyDB for PostgreSQL, BigQuery. * Compute Engine. * Cloud Storage. * Dataflow, Cloud Build, Cloud Deploy. * Google Cloud Machine Learning - Vertex AI. * Cloud CDN, Cloud DNS. * Cloud VPN, Cloud Route, NAT, VPC, VPC Peering, Shared VPC, Private Google Access, Private Service Access, Serverless VPC Access... Cloud and Infrastructure Operations Engineer • 永鼎數位科技 九月五月 2023 獨自

鄭凱元 (Kai-Yuan Cheng) Machine Learning Engineer focusing on super resolution, object detection, and face recognition. Strongly interested in deep learning and computer vision. Graduated from National Taiwan University with Master of Mechanical Engineering. AI/ML Engineer Date of Birth: 1991/8/25 Mobile:E-mail: m@gmail.com LinkedIn: www.linkedin.com/in/mPROFESSIONAL EXPERIENCE Data Scientist (Computer Vision), TSMC, 2022/4 - Present Super resolution for wafer patch enhancement Computer vision algorithm development. Machine Learning Engineer (Computer Vision), VIVOTEK, 2019//4