余泰歌然

有团队 · 可整包

Cloud AI Solution Architect · 14年经验 · Freelancer

城市北京海淀日薪1000元/8h 时间下班后周六周日可工作日远程可工作日驻场（离职原因）可工作日驻场（自由职业原因）

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技术能力项目经验团队情况案例展示

技术能力

AI 技能提取 | Python Kubernetes Docker DevOps Java Go

Cloud(AWS,Azure)Infrastructure,PM / PMO,Docker,Kubernetes, python AI model 開発,RHEL7
Cloud Architect with over 25 years of experience in infrastructure,
cloud, and system integration.
Led AWS/Azure architecture design and achieved over 30% operational
cost reduction through automation and IaC.
Recently focused on Digital Transformation (DX), including:- Data platform architecture- AI PoC to production deployment- Energy optimization, logistics optimization, healthcare data
utilization
Specialized in designing end-to-end DX architecture integrating
Cloud, Data, and AI from PoC to production.
■Core Skills- AWS / Azure Architecture Design- Data Platform (Data Lake / ETL)- AI System Design (PoC to Production)and Develop- Cost Optimization / Automation- End-to-End Delivery (Requirement to Operation)
■Technical Skills
Cloud:- AWS (ECS, Fargate, Lambda, Aurora, S3, Glue, StepFunctions)- Azure (IoT Hub, AKS, DevOps)
Languages:- Python, Go, Java, Shell, VBA
Database:- Aurora Po

项目经验

=============== PROFESSIONAL EXPERIENCE ======================================== [Project 1] Energy Optimization AI Platform Period: Nov 2025 – Mar 2026 Role: Cloud / AI Architect- Designed AWS-based data and AI platform for industrial equipment optimization- Built machine learning models (RandomForest)- Designed data pipeline (feature engineering to training)- Developed optimization logic for energy efficiency Achievement:- Enabled energy consumption visualization- Identified significant energy-saving opportunities------------------------------------------------- [Project 2] Pharmaceutical Logistics DX Platform Period: May 2025 – Oct 2025 Role: AI / Cloud Lead Engineer- Designed demand forecasting AI (Python, scikit-learn)- Built route optimization algorithms- Designed AWS cloud architecture- Developed robotic automation (UR5e + ROS2) Achievement:- Improved logistics efficiency- Validated AI + robotics integration model------------------------------------------------- [Project 3] Large-scale Payment Platform (TOICA) Period: 2024 – 2025 Role: Cloud Architect- Designed AWS architecture for high-transaction payment system- Built microservices using ECS Fargate- Implemented serverless APIs (Lambda, API Gateway)- Designed async workflows (StepFunctions)- Built CI/CD pipeline- Led cost optimization and operations improvement------------------------------------------------- [Project 4] Energy Optimization AI Platform Role: Architect Period: 2025 – 2026- Designed AI models (RandomForest)- Built data pipelines (Pandas, NumPy)- Designed AWS-based data architecture- Developed optimization logic Achievement: - Identified energy saving opportunities through predictive analytics------------------------------------------------- [Project 5] Data Lake Platform (Energy Sector) Role: Project Manager Period: 2022- Designed Data Lake and ETL (AWS Glue)- Monitoring design (CloudWatch)- Led PoC------------------------------------------------- [Project 6] Azure IoT Monitoring System Role:

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