Xiang is a Machine Learning Engineer in building scalable AI/ML applications. Xiang has 4.5 years of experience in end-to-end Large Language Model (LLM) lifecycle, from system design to MLOps and serving. Xiang is a alumni of Carnegie Mellon University.

Experience

JPMorganChaseSoftware Engineer

2025 — Now

Palo Alto, California, United States

💭 Job duties were orthogonal by design to fit into a human scope, like the SWE/SRE split. Boundaries now dissipate and new species emerge. Software Engineering now works like an Engineer Manager with a spawn of agents, to define problems, rubrics, and validations. I want to be informed to be a Luddite or not. I want to learn, invest, build, and imagine life with agents.

🥰 I host Claude Code router/ KV cache/ knowledge base with Anthropic on AWS, and many more.

👉 Ping me if you were also interested in Stanford CS336, CS25, CS153.

JPMorganChaseSoftware Engineer III, Senior

2024 — 2025

Glasgow

🛠️ * Building plugin/ CLI/ API/ IDE to enable developers with AI chat/ edit/ agent modes

🪜 * Procuring GenAI models (OpenAPI GPT 4 series, Anthropic Claude 3.7 Sonnet, open-weights)

🧤 * Presenting best practices with prompt engineering, RAG, agentic AI, MCP, KV cache, and so on

JPMorganChaseSoftware Engineer II, Associate

2021 — 2024

Palo Alto, CA

Delivering cloud-native continuous integration (CI) and continuous delivery (CD) solutions @ Enterprise Toolchain.