Summary
Erfan Al-hossami is an applied AI engineer and CS PhD candidate in Charlotte with 10 years of experience building production-grade NLP and LLM systems. He has driven end-to-end GenAI deployments—architecting government-grade Llama-3.3 70B infrastructure with secure RAG, tool use, long-document QA, and CAC-enabled authentication for the Department of the Air Force. Prior roles include research science contributions at Stability AI (helping train StableLM-Alpha) and dozens of peer-reviewed publications on education, NLP, and software engineering from his graduate research. He combines hands-on data engineering (PySpark, Beam, Ray) with mentorship and teaching experience, having guided undergraduates in security and bot-detection projects and taught large CS classes. Known for a skeptical, question-first approach to research, he volunteers extensively in academic projects and has a knack for turning research prototypes into scalable, compliant systems. Outside work he’s as passionate about cheese-topped food as he is about clean model pipelines.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Charlotte
High School Diploma, High School Diploma at Mallard Creek High School
English, Arabic, French