Computer Engineering Student | Deep Learning | Computer Vision | Robotics & Reinforcement Learning
I am a Computer Engineering student passionate about deep learning, computer vision, generative models, robotics and deep reinforcement learning, My work spans from research projects like diffusion policies and applyinhg deep learning models for solving problems related to humans health.
Computer Vision & Deep Learning
- VAE-MNIST-Gen — Variational Autoencoder for digit generation (MNIST)
- FaceKD — Face recognition using knowledge distillation
- Denoising-Emotional-Pictures-with-UNet — Image denoising with U-Net, preserving emotional content
Deep Reinforcement Learning
- Diff-Stock-BSc-Thesis-Project — Stock trading agent using Deep RL + Diffusion Policy
Robotics
- TurtleBot3-Burger-Localization-Navigation — Mapping, localization, and navigation with door detection using Webots
Natural Language Processing
- Genre-Prediction-NLP — Movie genre classification from text descriptions
- Emotion-Classification-BERT — Emotion recognition using BERT and Hugging Face Transformers, with balanced preprocessing, fine-tuning, and detailed evaluation (confusion matrices + per-class F1).
- PersianQA-Bench — A comparative benchmark of ParsBERT and XLM-RoBERTa for extractive question answering in Persian, featuring active learning, calibration analysis, and per-length error evaluation.
Systems, Compilers & Algorithms
- compiler-project-fall2023 — A compiler built in C++
- Microprocessor-labs — Microprocessor experiments and labs
- Data-Structure-Final-Project — Data structures course project
- Graph-Theory — Graph theory problems and solutions
- CE079-Graph-Theory — Graph Theory course materials
Mobile & App Development
- Uber-eats — Food delivery app clone (Dart)
- Ap-project — DigiKala app clone (Dart)
Games & Mini Projects
- XO-game — Tic-tac-toe in Python
- Monopoly-Ap-miniproject — Monopoly game in Java
- itp-project — Minesweeper in C++
- Languages: Python, C++, Java, Dart
- Frameworks & Tools: PyTorch, NumPy, Pandas, Jupyter, Flutter, Keras & Tensorflow
- Focus Areas: Deep Learning & Computer Vision,GenAI, Reinforcement Learning, NLP
- others: Softeware development & Compiler design, microprocessors, algorithms, data structures
- Email: amirv1382@gmail.com
- Open to collaborations, internships, and research opportunities