I'm completing an MSc in Software Engineering at the University of Tehran.
I work on LLM reliability, user modeling, personalization, and information retrieval.
I am completing an MSc in Software Engineering at the University of Tehran, working with Dr. Azadeh Shakery at the Intelligent Information Systems Lab.
My research is centered on how language and retrieval systems model people: how they infer preferences from behavior and dialogue, and how reliable those user representations remain across interactions. I am particularly interested in the intersection of large language models, personalization, conversational systems, retrieval, and reliability.
Before focusing more deeply on research, I spent over four and a half years at NeshanMaps building search, geocoding, and ML-assisted systems at production scale. That experience strongly shapes how I think about evaluation: a model is useful only when its behavior can be measured against real users and real constraints.
Personalization & Diversification in Conversational Recommender Systems. The thesis studies how conversational recommenders can model user preferences from dialogue while balancing recommendations aligned with known preferences and maintaining diversity over the course of a conversation.
Over four and a half years across search, ML, backend systems, and product engineering.
SimInter introduces an evidence-grounded framework for LLM-based user simulation, combining synthetic interviews, turn-level auditing, and profile enrichment. Evaluated on ReDial, it significantly improves the diversity of expressed preference aspects compared with statistics-only profiles (1.619 vs. 0.859). The improvement also persists across KBRD and UniCRS, with human evaluations supporting the reliability of enriched claims and auditing decisions.
Thesis: Personalization & Diversification in Conversational
Recommender Systems · Supervisor: Dr. Azadeh Shakery
Expected defense: January 2027
Away from research and engineering, I enjoy films and TV series, long walks, listening to music, traveling, reading novels, and charcoal drawing. I like activities that give me space to slow down, observe details, and come back to work with a clearer head.
I'm looking for PhD opportunities starting in 2027 where I can work on large language models—especially how they model users, personalize their behavior, and remain reliable.