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<title> Ali Bidaran - Website</title>
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<h1>Ali Bidaran</h1>
<p class="title">Computer Scientist and AI Engineer</p>
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<ul>
<li><a href="#about">About</a></li>
<li><a href="#skills">Skills</a></li>
<li><a href="#projects">Projects</a></li>
<li><a href="#contact">Contact</a></li>
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<section id="about">
<h2>About Me</h2>
<p>Welcome to my website. My name is Ali Bidaran, and I am an AI engineer. I studied electronic engineering, while my main profession is designing ML and AI models for various projects. My main research interest is designing Computer Vision and NLP, in particular LLMs, for different applications. Moreover, I often contribute designing embedded systems, PCB boards and IoT projects. </p>
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<section id="skills">
<h2>Skills</h2>
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<h3>AI and Machine learning</h3>
<ul>
<li>Deep learning (frameworks like PyTorch, ONNX and Keras)</li>
<li>Machine Learning (frameworks like Scikit-learn)</li>
<li>Computer Vision (frameworks such as OpenCV, Diffusers and OpenVino)</li>
<li>NLP and LLMs (frameworks Transformers, Gensim, Spacy)</li>
</ul>
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<h3>Front-End</h3>
<ul>
<li>HTML5</li>
<li>CSS3 </li>
<li>JavaScript</li>
</ul>
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<h3>Back-End</h3>
<ul>
<li>Programming Languages (e.g., Python)</li>
<li>Web Frameworks (e.g.,Flask)</li>
<li>Databases (e.g., MySQL, MongoDB)</li>
<li> Fast prototyping (e.g., QT and Gradio)</li>
</ul>
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<h3>DevOps</h3>
<ul>
<li>Version Control (Git)</li>
<li>Deployment Tools (e.g., Docker, AWS)</li>
<li>CI/CD Pipelines</li>
</ul>
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<h3>Data Processing</h3>
<ul>
<li>Programming Languages (e.g., Python)</li>
<li>Pandas</li>
<li>Numpy</li>
<li>Data visualization (e.g. Plotly, Matplotlib and Dash)</li>
</ul>
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<h3>Embedded Systems and IoT</h3>
<ul>
<li>Programming Languages (e.g.,C/C++, Micropython)</li>
<li>Platforms (e.g. Arduino IDE, Mbed)</li>
<li>Boards (e.g, Arduino, STM32, ESP32, Raspberry pi) </li>
<li>PCB board designing (e.g. Kicad)</li>
</ul>
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<section id="Education">
<h2>Education</h2>
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<h3>Amirkabir University of Technology (Tehran, Iran)</h3>
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Master's of Electrical Engineering-Digital Electronic Systems
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<h3>Islamic Azad University (Central Tehran Branch)</h3>
<p>
Bachelor degree in Electrical Engineering
</p>
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<section id="Summer Schools and Conferences">
<h2>Summer Schools and Conferences</h2>
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<h3>Oxford University, England</h3>
<p>
Attendance of Oxford Machine Learning School (OXML)(2024)
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<h3>Ukrainian Catholic University, Ukraine </h3>
<p>
Lviv Data Science Summer School (2022)
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<h3>12th International Conference on Information and Knowledge Technology, Iran </h3>
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Contribution as Invited speaker (2021)
</p>
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<h3>Gdansk University of Technology, Poland</h3>
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Attending at International summer school on deep learning (ISSonDL)(2020)
</p>
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<h3>Politehnica University of Bucharest, Romania</h3>
<p>
Attending at International Summer School of Imaging and Medical Application (SSIMA)
(2019)
</p>
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</section>
<section id="Publications">
<h2>
Publications
</h2>
<div class="pubs">
<a href="https://ieeexplore.ieee.org/abstract/document/9685153">
A. Bidaran and S. Sharifian, "Designing an AI-assisted toolbox for fitness activity recognition based
on deep CNN," 2021 12th International Conference on Information and Knowledge Technology (IKT),
2021, pp. 29-34, doi: 10.1109/IKT54664.2021.9685153
</a>
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</section>
<section id="projects">
<h2>Projects</h2>
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<h3>Instruction2PythonCode</h3>
<img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png" alt="Project 1">
<p>Fine-tuning the latest Google’s open source LLM model (Gemma) to generate Python codes for various
applications, from Machine learning to backend and web development.</p>
<a href="https://huggingface.co/alibidaran/Gemma2_Python_instruction">View Project</a>
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<h3>Virtual Doctor</h3>
<img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png" alt="Project 1">
<p>Implementing and fine-tuning the latest LLM model, in particular Gemma, being a member of Google’s Gemini
AI, for medical and healthcare applications.</p>
<a href="https://huggingface.co/alibidaran/Gemma2_Virtual_doctor">View Project</a>
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<h3>Bone Fracture detector</h3>
<p>An open-source AI driven web app that can detect bone fractures from XRAY images. A handy web app for orthopedists and medical professionists.
Our optimized Yolo-V8 model enable all users to execute it in CPU efficently. Moreover, this model can be executed in real-time environments.</p>
<gradio-app src="https://alibidaran-bone-fraction.hf.space"></gradio-app>
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<h3>Davinci Eye</h3>
<p>Designing an Unet model for segmenting surgery images and optimizing its weights to get real-time performance
on the Intel CPU families.Designing a web app with the trained model with Python, Numpy, OpenVino, ONNX, and Gradio.
Deploying it in HuggingFace spaces(AWS)</p>
<gradio-app src="https://alibidaran-davinci-eye.hf.space"></gradio-app>
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<h3>Medical transcript generator</h3>
<p>An open source project that contains the implementation of the medical transcript generator by fine-tuning a
LLM such as GPT-2 to create realistic medical reports with Python, PyTorch, and Transformers libraries.
Having been downloaded over 18 thousands since March 2023.
</p>
<gradio-app src="https://alibidaran-medical-trascription-generator.hf.space"></gradio-app>
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<h3>Symptom2Disease</h3>
<p>Fine-tuning a LLM such as BERT to detect 24 different diseases from textual symptoms in Python, PyTorch,
and Transformers.</p>
<gradio-app src="https://alibidaran-symptom2disease.hf.space"></gradio-app>
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<h3>Alzaimer MRI detection</h3>
<p>Designing a CNN model and optimizing it for CPUs to different stages of Alzaimer from MRI images.</p>
<gradio-app src="https://alibidaran-alzaimer-mri-image-detection.hf.space"></gradio-app>
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<div class="project">
<h3>General Image Captioning</h3>
<p>Implementing an image captioning model based on GPT and CNN models to create realistic captions for images
with Python, PyTorch, and Transformers.</p>
<gradio-app src="https://alibidaran-general-image-captioning.hf.space"></gradio-app>
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</section>
<section id="contact">
<h2>Contact</h2>
<p>Feel free to reach out to me from these platforms:</p>
<ul>
<li><i class="fa-sharp fa-solid fa-at"></i> <label>aabidaran@gmail.com</label></li>
<li><a href="https://www.linkedin.com/in/ali-bidaran-79875415b/"><i class="fa-brands fa-linkedin"></i></a></li>
<li><a href="https://github.com/alecbidaran"><i class="fa-brands fa-github"></i></a></li>
<li><a href="https://www.kaggle.com/alibidaran"><i class="fa-brands fa-kaggle"></i></a></li>
</ul>
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<p>&copy; Ali Bidaran 2024</p>
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