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Starting a company has always been a dream of mine, and in September 2023, I co-founded SofiaMind with a few talented students at University of Tehran. Our vision was to create intelligent chatbots leveraging state-of-the-art AI technologies such as large language models (LLMs) and retrieval-augmented generation (RAG).
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Starting in January 2024, I joined Columbia University as a remote Research Assistant under the mentorship of Dr. Maryam Zolnoori. Our research focuses on leveraging large language models (LLMs) for clinical decision support, with the ultimate goal of developing real-time diagnostic tools for healthcare.
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In January 2024, I began working remotely with OptiGrid Pty Ltd, an Australian company focused on energy optimization solutions. My role involves building APIs for data-driven decision-making and performing data analysis and modeling to enhance system efficiency.
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In March 2024, I joined Nottingham Trent University as a remote Research Assistant, working under the guidance of David Brown, Mufti Mahmud, Alexander Sumich, and Nadja Heym. Our project involves conducting a systematic review of deep learning approaches on EEG data for the early detection of Alzheimer’s Disease and Mild Cognitive Impairment (MCI).
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A significant milestone for SofiaMind was securing our first major client, the University of Tehran, in March 2024. We successfully deployed a chatbot system to handle various university services, from answering student inquiries to assisting with administrative tasks.
Co-Founder, 2023
SOFIA, short for Social Omni-Present Bot for Instant Answers, is an advanced social bot that leverages the Retrieval-Augmented Generation (RAG) model to provide instant answers for a wide range of tasks and questions 
NLP course Project, 2023
FAQ chatbot specialized in selling TVs, capable of detecting intents, classifying domains, and extracting slot values (e.g., destination size, company name, etc.)
RL course Project, 2023
Built an RL-based agent that can answer complex multi-hop questions over a knowledge graph. Used the Doubled DQN algorithm to train the agent to learn to predict a sequence of actions to navigate the knowledge graph to find the correct answer
Data Analysis course Project, 2023
This project aims to predict which player will be awarded the Most Valuable Player (MVP) in the NBA for a specific season. The initial phase involves web scraping data from the basketball-reference.com website and loading it into pandas for further analysis
ML course Project, 2023
Developing a system to categorize sound data into different emotion groups. Utilizing clustering algorithms to group similar sounds based on their emotional characteristics
ML course Project, 2023
Implementing machine learning algorithms to develop classifiers for Electroencephalography (EEG) data. Assessing the performance of different classifiers to determine the most effective approach for EEG data classification
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate Course, Amirkabir University of Technology, 2020
Supported undergraduate students in learning computational intelligence concepts:
Graduate Course, University of Tehran, 2024
Supported graduate students in understanding key statistical concepts:
Graduate Course, University of Tehran, 2024
Responsibilities:
Graduate Course, University of Tehran, 2024
Contributed to teaching and supporting graduate students in mastering deep learning concepts:
Graduate Course, University of Tehran, 2024
Provided support in the Advanced Algorithms course:
Graduate Course, University of Tehran, 2024
Guided students in the analysis of social network data: