Machine Learning
Machine Learning · Deep Learning · Data Science · Reinforcement Learning
I'm Amir Rashedi, an Electrical Engineering graduate focused on artificial intelligence, deep learning, multimodal systems, computer vision, speech and NLP.

I hold a B.Sc. in Electrical Engineering (Telecommunications) from Shiraz University of Technology. My work sits at the intersection of engineering, data and intelligent software.
I build practical AI systems across medical imaging, multimodal learning, real-time face processing, speech recognition, NLP and LLM applications. I enjoy turning technical ideas into complete, usable pipelines.
Machine Learning · Deep Learning · Data Science · Reinforcement Learning
PyTorch · TensorFlow · Keras · CNNs · Multimodal architectures
OpenCV · MediaPipe · Dlib · Face processing · Image analysis
NLP · NLTK · Hazm · Speech-to-Text · Text-to-Speech
OpenAI API · Ollama · Gemma · Prompt & context engineering
Python · C · JavaScript · HTML · CSS · Git/GitHub · MATLAB
A multimodal deep-learning study combining mammography, ultrasound and clinical data. The work evaluated multiple architectures with cross-validation, ablation, missing-modality experiments and statistical comparison.
Read published paper ↗Real-time face detection, identity recognition, facial landmarks, eye-controlled mouse interaction, emotion recognition and age estimation.
End-to-end real-time speech-command recognition using STFT spectrograms and a CNN, with unseen-audio and live microphone inference.
Intent-classification chatbot using tokenization, WordNet lemmatization, Bag-of-Words, neural networks, confidence thresholds and a JSON knowledge base.
Complete data-science pipeline covering EDA, missing values, encoding, feature selection, standardization and model comparison.
AI assistant integrating cloud and local LLMs with streaming responses, prompt/context engineering and multimodal image understanding.
Using ultrasound, mammography, and clinical data.
View publication ↗Telecommunications · Shiraz University of Technology
Python, algorithms, AI algorithms, machine learning, deep learning, JavaScript and HTML/CSS.
Open to professional opportunities, AI/ML projects and technical collaborations.