I'm looking for Summer 2026 internship opportunities in AI/ML Engineering, Cloud Engineering, and Generative AI.
9 professional certifications (AWS / GCP / Azure) | 4+ industry internships | Open source contributor
📫 Reach me: LinkedIn | rich.liu627@gmail.com
I'm 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.
Previously a Solutions Architect at iKala, where I led 60+ customer engagements across multi-cloud environments, delivering impactful PoCs and technical demos. 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.
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Studio Associate, AI Guild - Next Lab @ Arizona State University Oct 2025 - Present Built and integrated a multi-agent WhatsApp learning assistant on AWS ECS with LangSmith for LLM tracing and evaluation.
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Solutions Engineer (Contractor), Cloud @ iKala Aug 2025 - Apr 2026 Migrated ETL from EC2 to AWS Glue (40% faster). Deployed AWS Landing Zone with Terraform (CAF) across 80+ accounts.
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Solutions Architect, Cloud @ iKala Oct 2024 - Jul 2025 Deployed secure AWS environments with DR/HA for government clients. Led presales and GenAI solutioning for 60+ customer engagements using Bedrock, SageMaker, Vertex AI, and AgentSpace.
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Data Scientist Intern, IT-AI @ Advantech Jul 2024 - Sep 2024 90% accuracy demand forecasting (Amazon Forecast). Built multi-agent system with LangGraph reducing R&D resolution time by 30%.
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AWS Educate Cloud Ambassador @ Amazon Web Services Mar 2024 - Jun 2025 Led 7-member team. Hosted workshops for 80+ participants. Delivered YouTube Live training for 400+ with 4.85 avg satisfaction.
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Cloud Developer Intern, AI&Data @ eCloudvalley Feb 2024 - May 2024 Optimized ETL with AWS Glue & PySpark (20% faster). Built recommendation systems with AWS Personalize (90% precision).
WhatsApp Learning Chatbot — ASU AI Guild, Next Lab
AI-powered educational system delivering personalized learning experiences directly within WhatsApp, addressing the global digital divide by enabling learning on low-bandwidth networks.
- Built with LangGraph multi-agent orchestration for intent routing, question answering, quiz generation, and progress tracking
- Evolved from Flask + Ollama + ChromaDB prototype to production AWS ECS Fargate microservices architecture
- Integrated AWS Lambda, API Gateway, and serverless pipelines for scalable deployment
- Educators upload content (PDFs, presentations, videos) via a web dashboard; students interact entirely through WhatsApp
Tech: Python, Flask, LangGraph, ChromaDB, AWS (Lambda, API Gateway, ECS Fargate), WhatsApp Business API
| 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