My name is PEYMAN. I am 29 years old, and I am studying for my master's degree in Computer Engineering at the University of Genova. My first experience in programming was back when I studied for a bachelor’s. Now, I am passionate about writing readable and modular code for Fine-Tuning and Traine models in diffrent fields like Computer vision, Machine Learning, Deep Learning and Image processing.
Education
- University of Genoa [Genoa, Italy]
- Master’s, Computer Engineering
- University of Guilan [Rasht, Iran]
- Bachelor’s, Computer Engineering
- Shahid Beheshti High School [Rasht, Iran]
- Experimental Science
Participate in the Conference
- Enhancing Hand Movement Recognition: A Hybrid Fuzzy Deep Neural Network Approach with Time-Frequency EMG Representations Read Article
- Multi-Modal Brain Tumor Diagnosis via Hybrid Vision Transformers and CNNs: A Deep Learning Approach Read Article
- Integration of High-Speed AFM Nanomechanical Profiling with Deep Spatiotemporal Learning for Early Response Assessment and Tumor Stage Prediction in Oncolytic Virotherapy Read Article
Projects
- Automatic Meningiomas Diagnosis with Deep Learning and Atomic Force Microscopy [Thesis] View Project Details
- AI Voice Agent - Task manager
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Food Classification (Independent Project)
- Trained and fine-tuned the VIT model to classify the names of food.
- Evaluated performance using precision-recall metrics and Improved model accuracy through hyperparameter tuning.
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Object Detection with YOLO Model
- Developed a custom object detection model using the YOLO architecture.
- Created and annotated a custom dataset using Label Studio for supervised training.
- Trained and fine-tuned the model to detect Washing Machine Objects.
- Evaluated performance using precision-recall metrics and improved model accuracy through hyperparameter tuning.
- VR - task-oriented system with conversational actions
- Google Chrome Extension - Text Editor
Experience
- Conducting research on the use of AI in healthcare and intelligent systems.
- Working with deep learning models for object detection.
- Fine-tuning VIT for the classification project.
- Working with deep learning models for data analysis and predictive solutions.
- Collaborating with academic supervisors on system design and validation.
Certifications
- Machine Learning with Python [MindLuster 2025]
- Algorithms, Part I [Coursera – 2025]
- Deep Learning Prerequisites: The NumPy Stack in Python V2 [MindLuster – 2025]
- TensorFlow For Neural Network [MindLuster- 2024]
- MATLAB Machine Learning[MindLuster - 2024]
- Programming Using Python [Udemy – 2023]
- Jupyter NoteBook for DataScience[MindLuster - 2021]
- Git & GitHub Crash Course: Create a Repository From Scratch [MindLuster – 2018]
Skills & Interests
- Programming Languages: Python, Matlab, JavaScript, Figman, Jupyter
- AI & Data Tools: TensorFlow, PyTorch, Scikit-learn, Jupyter, YOLO, NumPy, Pandas, OpenCV
- Other Skills: Data preprocessing, Model training and evaluation, Research writing, Visualization, UI/UX
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Other Skills:
- Computer Vision and Object Detection
- Deep Learning for Healthcare Applications
- Predictive Maintenance and Intelligent Systems
- Human-Centered Artificial Intelligence
- Human and Computer Interaction
Languages
- English – Fluent
- Persian – Native
- Italian – Basic
Contact Information
Write me at pmn.afshari@outlook.com · Follow me on GitHub or check my Articles on Google Scholar.