Summary
Yifei Zhang is a software engineer with a strong AI focus and roughly a decade of practical experience delivering full‑stack and cloud-native solutions from Melbourne. He blends hands-on expertise in C/Java/Python, modern web frameworks (Next.js, Vue3), and cloud/DevOps tooling (OpenStack, Kubernetes, AWS) to build production-ready systems—examples include a clinician-facing workflow platform and a university-adopted NLP question generator. Yifei has measurable impact on performance and quality, having reduced redundant API calls by 30%, improved vector search latency and retrieval quality, and lifted test coverage from 0% to over 50%. He also brings applied ML skills—TensorFlow model training and Hugging Face integration—for NLP features, plus experience curating multilingual training corpora and evaluating LLM outputs for relevance, safety, and factuality. Known for clear stakeholder communication and mentoring, he moves projects from research prototypes to adopted products while proactively mitigating security and quality risks.
10 years of coding experience
1 year of employment as a software developer
The University of Melbourne
High School Diploma, 12, High School Diploma, 12 at Bendigo Senior Secondary College