Yong Nan C.

AI & Platform Engineer | LLMs | ML | Cloud | ETL | K8S | 🎓 Master’s @ UC Berkeley I am a production-focused AI & Platform Engineer specializing in building scalable, autonomous systems. With a Master's from UC Berkeley and enterprise experience at Volvo Cars, I bridge the gap between cutting-edge AI research and reliable cloud infrastructure. I don't just build models; I architect end-to-end solutions that are robust, secure, and ready for business. ⸻ ⭐ What I bring to your project: ✅ AI Agent Development: Building multi-agent systems, RAG, and custom assistants that automate complex workflows. ✅ LLM Engineering: Fine-tuning and hosting local LLMs (Llama, Qwen) and integrating advanced APIs for specialized tasks. ✅ Cloud Platform Architecture: Orchestrating scalable infrastructure with Kubernetes, Terraform, and Crossplane on Azure/AWS. ✅ Backend & Data Systems: Designing high-performance APIs and ETL pipelines that handle enterprise-scale data. ✅ Reliability & Ops: Implementing CI/CD best practices and self-service infrastructure to ensure smooth deployments. ✅ Clear Communication: Collaborative partner who prioritizes transparency and business value. I look forward to building something impactful with you. Cheers! ⸻ 💻 Tech Stack Languages: Python, SQL, R, C#, .NET, Bash AI/ML: PyTorch, scikit-learn, Transformers, LangGraph, GPT, Gemini, Qwen Data Engineering: Apache Spark, ETL Pipelines, Data Lakes, SQL Server, MongoDB Cloud: AWS (SageMaker, Lambda, S3, EC2), Azure (Databricks, Synapse, Pipelines), Terraform, Kuberenetes, Helm Backend & DevOps: REST APIs, Docker, Git Visualization & BI: Tableau, DOMO, Excel Certifications: AWS Cloud Practitioner, Tableau Desktop Specialist ⸻ 📞 Let’s work together to build something powerful — whether it’s an AI-powered solution, a cloud-based data pipeline, or a full-stack system that brings your data to life. I’m responsive, results-driven, and ready to deliver value fast.