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mehranbazrafkan/README.md

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👨‍💻 Mehran Bazrafkan – AI Engineer

Hi there 👋
I'm an AI Engineer and software developer passionate about building intelligent systems. With a solid background in .NET backend development and hands-on experience in machine learning, reinforcement learning, and deep learning, I focus on creating technologies that make a real impact. My goal is to one day lead a company that pioneers advancements in AI and robotics to enhance the quality of life. Every project I take on is part of this journey—from engineering robust systems to exploring the frontiers of artificial intelligence. Let's shape the future together 🚀

Contact:

Linkedin profileG-mail addressTelegram ID

Key Skills:

🔹 AI & Python Stack

  • Python (NumPy, Pandas, Matplotlib)
  • Machine Learning & Deep Learning (Scikit-learn, PyTorch)
  • Computer Vision (OpenCV, Haar Cascades)
  • Generative Models (GANs, DDPMs)
  • Reinforcement Learning (Actor-Critic, PPO)

PythonPyTorchTensorFlowMatplotlibNumPyPandasOpenCV

🔹 Backend & DevOps

  • API Development & JWT Security
  • SQL Server, MongoDB, SQLite
  • Git, GitHub, Postman, Swagger

JWTMicrosoftSQLServerMongoDBSQLiteGitHubGitSwaggerPostman

🔹 .NET Stack

  • C# (.NET, ASP.NET, EF)

C#.Net

Pinned Loading

  1. image-captioning-blip Public

    Generate natural language captions for images using BLIP (Bootstrapping Language-Image Pre-training). A simple script to batch caption your image folders using a local or Hugging Face-based BLIP mo…

    Python

  2. zero-shot-openclip-image-classifier Public

    A zero-shot image classification pipeline built using OpenCLIP. This project uses the ViT-B/32 CLIP model to classify images based on natural language prompts without needing any additional training.

    Python

  3. referral-image-segmentation Public

    This project allows users to extract semantically meaningful parts of an image (e.g., "eyes and glasses") by ranking SAM-generated masks based on their similarity to a CLIP-encoded text prompt.

    Python

  4. unconditional-denoising-diffusion-pytorch Public

    PyTorch implementation of an unconditional denoising diffusion probabilistic model for image generation. Includes a UNet-based architecture and training pipeline with sampling and checkpointing.

    Python

  5. CartPole-ActorCriti-RL Public

    Implementation of an Actor-Critic Reinforcement Learning algorithm for solving the CartPole problem. This project demonstrates how to balance a pole on a moving cart using a deep learning approach.

    Python 1

  6. CSharpNet Public

    CSharpNet

    C# 1