Amirhossein Mohammadi
Ph.D. Candidate & NLP/ML Specialist
Contact
- Leiden, Netherlands
- a.mohammadi@uu.nl
- Amirhossein Mohammadi
- the-amirhosein
Skills
Soft Skills
Languages
- English: proficient
- Persian: Native
About Me
A dedicated Ph.D. candidate at Utrecht University with a strong background in Artificial Intelligence and Natural Language Processing. My research focuses on the capabilities of Large Language Models. I have hands-on experience as an NLP/ML Specialist and Big Data Engineer, developing scalable systems, search engines, and data pipelines. I am passionate about leveraging technology to solve complex problems and contribute to meaningful projects.
Education
Ph.D. Candidate
Utrecht University (UU)
Sep 2021 - Present
Investigation into the capability of LLMs in Learning Impossible Languages.
M.Sc. Soft Computing and Artificial Intelligence
Allameh Tabataba'i University (ATU)
Sep 2016 - Aug 2021
Thesis: Diagnosis of depression by detecting linguistic markers of depression using Machine Learning methods.
B.Sc. Computer Science
Kharazmi University (KHU)
Sep 2012 - Jun 2016
B.Sc. Project: Comprehensive comparison of Swarm intelligence algorithms over Traveling Salesman Problem.
Publications
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Work Experience
NLP/ML Specialist
June 2022 - May 2025
MCL
Developed systems using Transformers, BERT, and GPT-2 for information retrieval and generative models. Contributed to a search engine for multi-type data (images, documents, voice).
Big Data Engineer
Mar 2021 - May 2025
Mahsan co.
Developed high-throughput data collectors and ETL processes with Java, Python, and Cassandra. Designed and developed data pipelines using ActiveMQ and Kafka. Deployed and maintained Cassandra clusters and worked with cloud object storages like MinIO and Ceph.
MicroService Back-end Developer
Jul 2019 - Mar 2021
Tourism IT co.
Designed and developed digital banking services for TourismBank using a microservice architecture. Created system gateways with REST API and gRPC for internal communication.
Java-SE Developer
Oct 2018 - Mar 2020
TSIN co.
Designed and developed an ETL tool to extract, transform, and load data from various SQL databases and files into an Oracle data warehouse.
Projects
Depression Diagnosis via Linguistic Markers (Master's Thesis)
Utilized BERT to classify text for depression, achieving 85.5% accuracy and showcasing the potential of language-based mental health assessment.
Swarm Intelligence Algorithm Comparison (Bachelor's Project)
Implemented and compared Ant Colony Optimization, Artificial Bee Colony, Firefly, and Red Deer algorithms on Traveling Salesman Problem datasets.
Various Implementations
Developed projects including intent classification with BERT, CIFAR-10 classification with CNNs, graph algorithms, a cryptography tool using Hafez poems, P2P data transfer, and more.