logo
Weixuan Jiang Avatar官方
Weixuan Jiang
Cloud Engineer - AI/ML
LinkedIn

About Larry Jiang:

Larry Jiang 是一位专注于Generative AI的AI技术架构师,具备深厚的Python、LLM及提示工程(prompt engineering)技能。他擅长运用OpenAI API、LangChain、AWS Bedrock Transformer以及Azure AI等工具,设计并实施先进的AI解决方案。他在AI功能开发、数据流程自动化和AI解决方案架构方面具有丰富经验,致力于推动预测准确性和操作效率 。

工作经历:

  • Forwood Safety Australia: AI Technical Architect 开发并实施了名为Agentic RAG的AI风险分析代理,利用AutoGen、Pydantic和AWS OpenSearch等工具加强风险管理效率。
  • Accenture Australia, Senior Analyst, Data Engineering 设计并架构了一套基于Azure Machine Learning和OpenAI的医疗健康AI解决方案,自动化医疗报告处理及ICD编码获取。
  • NAB, Analyst, Data Engineer 负责数据仓库和ETL流程,使用Python、PySpark和AWS技术优化数据处理和查询操作。

擅长技术栈与技能:

  • 数据操作与可视化:MySQL、MS SQL Server、Power BI、Pandas、Numpy、Matplotlib、Seaborn、Plotly。
  • 机器学习与AI:Tensorflow/Keras、Scikit-learn、统计分析、Azure AI、Databricks、AWS SageMaker、ChatGPT、Langchain、OpenAI Transformer、Hugging Face、提示工程。
  • 大数据管理:PySpark、Redshift。
  • 工作流自动化:Airflow、AWS Step Functions。
  • 容器化:Docker。
  • 版本与源代码控制:GIT、GitHub。
  • DevOps与基础设施:Terraform、AWS Cloud Formation、CI/CD、Jenkins。
  • 云平台:AWS、Azure 。

教育背景:

  • 澳大利亚国立大学(The Australian National University):统计学硕士
  • Griffith University:网络安全硕士
  • 南澳大利亚大学(University of South Australia):数据分析学士

荣誉与认证:

  • Databricks Certified Data Analyst Associate。
  • Dataiku MLOps Practitioner。
  • VMware Certified Master Specialist。
  • AWS Certified Machine Learning Specialty。
  • Professional Scrum Master™ II 。

在教课程

GenAI Capstone Project:intelligent Study Assistant(ISA)
Introduction to Embeddings
Embedding Models vs. LLM Chat Models
Introduction to Retrieval Augmented Generation (RAG)
Project:Building RAG from Scratch in Python
Building Simple User Interfaces in Python
PDF Parsing 101
LLM Rate Limits
Project:Shipping and Sharing a Rate-Unlimited, PDF-UploadReady RAG Application
Agents
The Reasoning-Action (ReAct) Framework
Search and Retrieval with Tools (Function Calling)
Project:Building a production-grade Agentic RAG Application
Multi-Agent Architectures
Hierarchical, Multi-Agent Collaboration, Agent Supervision
Agent Operations (Agent Ops) with LangSmith
Multi-Agent Frameworks: AutoGen, CrewAI
The Primary Roles of Fine-Tuning
Parameter Efficient Fine-Tuning (PEFT)
Quantization
Project:Fine-Tuning Llama 3.1 with PEFT-QLoRA
Introduction to Embeddings
Introduction to Retrieval Augmented Generation (RAG)
Your First (Manual, Prompted) RAG
Building RAG from Scratch in JavaScript
1v1免费职业咨询
logo

Follow Us

linkedinfacebooktwitterinstagramweiboyoutubebilibilitiktokxigua

We Accept

/image/layout/pay-paypal.png/image/layout/pay-visa.png/image/layout/pay-master-card.png/image/layout/pay-airwallex.png/image/layout/pay-alipay.png

地址

Level 10b, 144 Edward Street, Brisbane CBD(Headquarter)
Level 2, 171 La Trobe St, Melbourne VIC 3000
四川省成都市武侯区桂溪街道天府大道中段500号D5东方希望天祥广场B座45A13号
Business Hub, 155 Waymouth St, Adelaide SA 5000

Disclaimer

footer-disclaimerfooter-disclaimer

JR Academy acknowledges Traditional Owners of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past and present. Aboriginal and Torres Strait Islander peoples should be aware that this website may contain images or names of people who have since passed away.

匠人学院网站上的所有内容,包括课程材料、徽标和匠人学院网站上提供的信息,均受澳大利亚政府知识产权法的保护。严禁未经授权使用、销售、分发、复制或修改。违规行为可能会导致法律诉讼。通过访问我们的网站,您同意尊重我们的知识产权。 JR Academy Pty Ltd 保留所有权利,包括专利、商标和版权。任何侵权行为都将受到法律追究。查看用户协议

© 2017-2025 JR Academy Pty Ltd. All rights reserved.

ABN 26621887572