Biography
Welcome! I am a Research Assistant at the Social Networks Lab, and I recently graduated with a major in Artificial Intelligence and Robotics from the School of Electrical and Computer Engineering at the University of Tehran. My research focuses on using Natural Language Processing (NLP) and AI to address societal challenges. During my master’s studies, under the supervision of Dr. Masoud Asadpour, I analyzed social media data to explored user satisfaction in personal relationships and applied AI techniques to gain insights into complex social behaviours. Currently, I am working on Retrieval-Augmented Generation (RAG) systems, integrating information retrieval with LLMs to improve real-time query performance and response relevance. My interests lie at the intersection of Computational Social Science, NLP, and scalable AI systems.
Download my resumé.
- Computational Social Science
- Natural Language Processing
- Data Mining
- Deep Learning
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MSc in Artificial Intelligence and Robotics
University of Tehran
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BSc in Computer Egineering
University of Mazandaran
Experience
Responsibilities include:
- Conducting research on story generation using LLMs, with a focus on aligning narratives to cultural contexts and value systems
Responsibilities include:
- Integrated Elasticsearch into data pipelines to improve real‑time search and retrieval efficiency
- Implemented RAG systems using LLMs to enhance contextual text generation by incorporating real‑time Persian document retrieval
- Developed end‑to‑end pipelines that integrate information retrieval and LLMs, optimizing query performance and data retrieval accuracy
- Worked with Milvus and transformer models to build scalable, efficient solutions for real‑time text generation
- Improved response relevance and accuracy in user‑facing applications by leveraging LLMs and retrieval techniques
Responsibilities include:
- Collaborated on managing and processing social network data to improve AI‑powered fashion discovery
- Implemented and transitioned between various data pipeline systems to support the application and website
- Mentored team members on best practices for developing and maintaining efficient data pipelines
Responsibilities include:
- Mentoring Students
- Preparing hands-on notebooks
Courses:
- Machine Learning
- Data Analysis
- Statistical Inference
