Summary
Aren Golazizian is an AI/ML engineer and CS student at Sharif University of Technology with two years of hands-on experience building LLM-powered systems, from post-training pipelines to RAG and agentic workflows. He has translated research prototypes into reproducible, deployable systems, optimizing scalable inference and evaluation across large paper corpora and benchmark suites. At the Robust and Interpretable ML Lab he designed a multi-stage retrieve-and-rerank pipeline over 20,000+ papers and automated novelty scoring to assess 130+ LLM-generated research ideas. His work on post-training pipelines employed plausibility-aware reward functions and systematic ablations to measure abductive reasoning and cross-domain generalization. As a TA he helped create deep learning and Transformer curricula used by thousands of learners, demonstrating a talent for communicating complex ideas. Based in Yerevan, he’s actively seeking roles that blend rigorous LLM research with production-grade engineering.
2 years of coding experience
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Sharif University of Technology