I'm looking for Summer 2026 internship opportunities in AI/ML Engineering, Cloud Engineering, and Generative AI.
9 professional cloud certifications (AWS / GCP / Azure) | 4+ industry internships | Open source contributor
📫 Reach me: LinkedIn | rich.liu627@gmail.com
I'm currently pursuing a Master of Science in Data Science at Arizona State University, while working as a Studio Associate at ASU's AI Guild - Next Lab and a Solutions Engineer (Contractor) at iKala.
I thrive at the intersection of cloud computing, machine learning, and data engineering. As an AWS AI Community Builder, I specialize in designing scalable cloud solutions, optimizing generative AI workflows, and building production-grade AI/ML systems across AWS, GCP, and Azure platforms.
-
Studio Associate, AI Guild - Next Lab @ Arizona State University Oct 2024 - Present Collaborating on cutting-edge AI research and deploying generative AI applications for academic and industry partners.
-
Solutions Engineer (Contractor), Cloud @ iKala Aug 2024 - Present Providing technical consulting for cloud architecture design and AI/ML solution implementation on GCP.
-
Solutions Architect, Cloud @ iKala Jan 2024 - Jul 2024 Designed and implemented cloud architectures for enterprise clients, achieving 30% average cost reduction.
-
Data Scientist Intern, IT-AI @ Advantech Jul 2024 - Sep 2024 Developed multi-agent systems using LangGraph and built supply chain forecasting models.
-
Backend Engineer & Tech Support Team Lead @ Amazon Web Services Mar 2024 - Jun 2024 Led technical support team and developed serverless microservices for workshop automation.
-
Cloud Developer Intern, AI&Data @ eCloudvalley Feb 2024 - May 2024 Developed cloud-based AI/ML solutions and implemented data pipelines on AWS.
-
QA-AI Intern @ CyberLink Aug 2023 - Jan 2024 Performed quality assurance testing for AI-powered video editing features and developed automated testing scripts.
| Project | Contribution | Link |
|---|---|---|
| robinebers/openusage | feat(gemini): add Gemini provider plugin |
PR #189 |
| aws-educate-tw/aws-educate-tpet-backend | SQS email sender, DB migrations, API pagination & more | PRs |
| aws-educate-tw/aws_educate_taylor_swift_workshop | Implement Bedrock Flow | PR #1 |
| aws-educate-tw/aws-educate-sagemaker-workshop | SageMaker workshop content | PR #2 |
Generative AI & LLM: LangChain, LangGraph, RAG, Fine-tuning, Multi-Agent Systems, QLoRA
Machine Learning: PyTorch, TensorFlow, Scikit-learn, Model Deployment
Cloud Architecture: AWS, GCP, Azure, Serverless, Microservices, Cost Optimization
Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Real-time Processing
DevOps: Docker, Kubernetes, CI/CD, Terraform, GitHub Actions, Infrastructure as Code