Xingyu Bian
Software Engineer at Trinity Life Sciences
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolXingyu 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.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Manning College of Information and Computer Sciences, UMass Amherst
Chinese, English, French
Github Skills (30)
virus10
spread10
health10
python10
matplotlib10
tracks10
sklearn10
cuda8
pytorch8
llm7
amd7
llama7
openai7
inference7
transformer7
Programming languages (5)
Github contributions (5)
therealcyberlord/DQN-PacMan
Jun 2022 - Jul 2022
PyTorch Implementation of DQN to play Atari games
Contributions:30 commits, 2 PRs, 11 pushes in 21 days
dqnpytorch
therealcyberlord/Blijax-Stockbot
Jul 2023 - Nov 2023
Contributions:7 reviews, 13 PRs, 47 pushes in 3 months
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