Summary
Xingyu Bian is a software engineer focused on generative AI for life sciences, currently building agentic workflows and full-stack products at Trinity Life Sciences. With an M.S. in Computer Science from UMass Amherst and eight years of experience across research and industry, he bridges ML research (RAG, LLM evaluation, agent design) with production engineering in TypeScript and Python stacks. At UMass BioNLP Lab he trained LLM-as-a-judge models that reached ~93% correlation with human experts on clinical simulations and published at EACL 2026, a signal of rigorous evaluation practice. He’s shipped a zero-to-one quantitative analytics product that automated insight generation and improved analyst efficiency by ~40%, and has hands-on experience with LangChain, LlamaIndex, Weaviate, and cloud deployment. Passionate about turning research into impactful tooling, he often combines tool-calling RAG patterns and test-time scaling strategies to push practical performance on challenging healthcare benchmarks.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Manning College of Information and Computer Sciences, UMass Amherst
Chinese, English, French