MOHAMMAD MINOUEI
Kaiserslautern
Summary
Recent graduate with a strong foundation in deep learning and practical experience in training deep neural networks and large language models. Solid background in software development and adept problem-solving skills. Ready to embark on a career journey to make meaningful contributions in the field utilizing commitment and drive.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Researcher
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
09.2020 - Current
- Conducted literature reviews to identify gaps in knowledge and inform future research directions.
- Developed custom deep learning algorithms for improved object detection and classification in real-world applications.
- Utilized Large Language Models for document information extraction.
Software Developer
Ashena Complex Co.
06.2014 - 05.2020
- Developed software for desktop and mobile operating systems.
- Built databases and table structures for web applications.
- Created backend services using RESTful API designs.
- Implemented containerization using Docker, leading to improved application scalability and manageability.
Education
PhD - Artificial Intelligence
University of Kaiserslautern-Landau
Kaiserslautern, Germany03-2025
MSc - Artificial Intelligence
Kharazmi University
Tehran01.2019
Bachelor of Science - Software Engineering
Sadjad University
09.2015
Skills
- Programming languages: Python, Java, C
- Deep learning frameworks : PyTorch, Keras, Transformers, OpenCV
- Database programming
- Docker and Linux environments
- Source and version control: Git, github
- Natural language processing: large language models fine-tuning
Languages
English
German
Certification
- Prompt Engineering with Llama 2&3 (deeplearning.ai)
- TensorFlow: Advanced Techniques Specialization (Coursera)
- Convolutional Neural Networks (Coursera)
Publications
- Embedding Layout in Text for Document Understanding Using Large Language Models., ICDAR, 2024
- Continual Learning for Table Detection in Document Images., Applied Sciences, 2022
- Efficient table border segmentation with asymmetric convolutions., International Conference on Machine Vision ICMV, 2021
- Document layout analysis with an enhanced object detector., International Conference on Pattern Recognition and Image Analysis IPRIA, 2021
Timeline
Researcher
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
09.2020 - Current
Software Developer
Ashena Complex Co.
06.2014 - 05.2020
- Prompt Engineering with Llama 2&3 (deeplearning.ai)
- TensorFlow: Advanced Techniques Specialization (Coursera)
- Convolutional Neural Networks (Coursera)
PhD - Artificial Intelligence
University of Kaiserslautern-Landau
MSc - Artificial Intelligence
Kharazmi University
Bachelor of Science - Software Engineering
Sadjad University
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