Ali Bidaran

AI Engineer and Software developer

About Me

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 is designing Computer Vision and NLP, in particular LLMs, for different applications. Moreover, I often contribute designing embedded systems, PCB boards and IoT projects.

Skills

AI and Machine learning

  • Deep learning (frameworks like PyTorch, ONNX and Keras)
  • Machine Learning (frameworks like Scikit-learn)
  • Computer Vision (frameworks such as OpenCV, Diffusers and OpenVino)
  • NLP and LLMs (frameworks Transformers, Gensim, Spacy)

Front-End

  • HTML5
  • CSS3
  • JavaScript

Back-End

  • Programming Languages (e.g., Python)
  • Web Frameworks (e.g.,Flask)
  • Databases (e.g., MySQL, MongoDB)
  • Fast prototyping (e.g., QT and Gradio)

DevOps

  • Version Control (Git)
  • Deployment Tools (e.g., Docker, AWS)
  • CI/CD Pipelines

Data Processing

  • Programming Languages (e.g., Python)
  • Pandas
  • Numpy
  • Data visualization (e.g. Plotly, Matplotlib and Dash)

Embedded Systems and IoT

  • Programming Languages (e.g.,C/C++, Micropython)
  • Platforms (e.g. Arduino IDE, Mbed)
  • Boards (e.g, Arduino, STM32, ESP32, Raspberry pi)
  • PCB board designing (e.g. Kicad)

Education

Amirkabir University of Technology (Tehran, Iran)

Master's of Electrical Engineering-Digital Electronic Systems

Islamic Azad University (Central Tehran Branch)

Bachelor degree in Electrical Engineering

Summer Schools and Conferences

Oxford University, England

Attendance of Oxford Machine Learning Summer School (2024)

Ukrainian Catholic University, Ukraine

Lviv Data Science Summer School (2022)

12th International Conference on Information and Knowledge Technology, Iran

Contribution as Invited speaker (2021)

Gdansk University of Technology, Poland

Lviv Data Science Summer School (2020)

Politehnica University of Bucharest, Romania

Attending at International Summer School of Imaging and Medical Application (SSIMA) (2019)

Publications

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

Projects

Instruction2PythonCode

Project 1

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.

View Project

Virtual Doctor

Project 1

Implementing and fine-tuning the latest LLM model, in particular Gemma, being a member of Google’s Gemini AI, for medical and healthcare applications.

View Project

Davinci Eye

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)

Medical transcript generator

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.

Symptom2Disease

Fine-tuning a LLM such as BERT to detect 24 different diseases from textual symptoms in Python, PyTorch, and Transformers.

Alzaimer MRI detection

Designing a CNN model and optimizing it for CPUs to different stages of Alzaimer from MRI images.

General Image Captioning

Implementing an image captioning model based on GPT and CNN models to create realistic captions for images with Python, PyTorch, and Transformers.

Contact

Feel free to reach out to me from these platforms: