Amirhossein Mohammadi

Amirhossein Mohammadi

Ph.D. Candidate in Natural Language Processing

Department of Languages, Literature and Communication
Utrecht University, Netherlands

About

I am a Ph.D. candidate at Utrecht University, where my research focuses on investigating the capabilities of Large Language Models, particularly in learning impossible languages. My work sits at the intersection of theoretical linguistics and artificial intelligence, exploring fundamental questions about language acquisition and computational learning.

Prior to my doctoral studies, I gained extensive industry experience as an NLP/ML researcher and Big Data Engineer, where I developed scalable systems for information retrieval, search engines, and data pipelines. My technical expertise spans transformer architectures (BERT, GPT), distributed systems, and cloud infrastructure.

Research Interests

Large Language Models

Understanding the learning capabilities and limitations of modern LLMs

Computational Linguistics

Investigating language structure through computational approaches

Natural Language Processing

Developing practical NLP systems for real-world applications

NLP for Mental Health

Using linguistic markers to detect mental health conditions

Publications

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Education

Ph.D. in Artificial Intelligence

Utrecht University

2021 - Present

Dissertation: Investigation into the capability of Large Language Models in learning impossible languages

M.Sc. in Soft Computing and Artificial Intelligence

Allameh Tabataba'i University

2016 - 2021

Thesis: Diagnosis of depression by detecting linguistic markers using Machine Learning methods

B.Sc. in Computer Science

Kharazmi University

2012 - 2016

Project: Comprehensive comparison of swarm intelligence algorithms for the Traveling Salesman Problem

Professional Experience

NLP/ML Researcher

MCl(part-time)

June 2022 - May 2025

Developed advanced NLP systems using state-of-the-art transformer architectures including BERT and GPT-2 for information retrieval and text generation. Contributed to the development of a multi-modal search engine capable of processing images, documents, and voice data.

Transformers BERT GPT-2 Information Retrieval

Big Data Engineer

Mahsan Co.

March 2021 - May 2025

Designed and implemented high-throughput data collection systems and ETL pipelines using Java and Python. Architected data streaming solutions with ActiveMQ and Kafka, deployed and maintained distributed Cassandra clusters, and managed cloud object storage systems (MinIO, Ceph).

Cassandra Kafka ETL Cloud Storage

Microservice Backend Developer

Tourism IT Co.

July 2019 - March 2021

Designed and developed digital banking services for TourismBank using microservice architecture. Implemented system gateways with REST API and gRPC for efficient internal service communication.

Microservices REST API gRPC

Java SE Developer

TSIN Co.

October 2018 - March 2020

Designed and developed an enterprise ETL tool for extracting, transforming, and loading data from various SQL databases and file formats into an Oracle data warehouse.

Java ETL Oracle Data Warehouse

Contact

Email

a.mohammadi@uu.nl