Summary
Behzad Behrooz is a Senior Machine Learning Engineer with 9 years of experience building production AI solutions, specializing in NLP and Large Language Models. He has led end-to-end projects from data collection and big-data processing to model development and CI/CD deployment, including a RAG system that automated regulatory evidence packages for the Australian TGA. Comfortable across Python and C# stacks, he leverages TensorFlow, PyTorch, Hugging Face and LangChain alongside Elasticsearch and SQL to deliver scalable, auditable systems. As a former technical co-founder, he has hands-on experience in fraud detection, forecasting and product leadership, consistently translating research-grade NLP into business-ready features. Based in Tehran, he also brings academic depth from an MA in Artificial Intelligence and published work on Persian aspect-based sentiment analysis.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Artificial Intelligence, A, Master's degree, Artificial Intelligence, A at Azad University (IAU)
Persian, German, English