Summary
Mina Naghshhnejad is a Senior ML Engineer with a Ph.D. in Computer Science and over a decade of experience building production-grade NLP and ML systems. She has led end-to-end development and deployment of transformer-based models for content understanding, QA, and enrichment at scale—solutions that served millions of Course Hero users—and now applies that expertise at Cisco ThousandEyes. Her work spans supervised and unsupervised approaches, from fine-tuning LLMs and LLM-based judges to graph-based keyword extraction and streaming trend detection in financial conduct data. Comfortable bridging research and product, she has a track record of turning academic insights into practical, robust pipelines across edtech and enterprise domains. Based in California, Mina combines deep technical rigor with hands-on engineering experience in large-scale NLP, and she often explores creative evaluation strategies for LLM responses beyond standard metrics.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of California, Merced
Bachelor of Applied Science (BASc) Computer Science, Bachelor of Applied Science (BASc) Computer Science at Sharif University of Technology
English, Persian, Arabic, Spanish