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Hey, I'm Nahid Mahmud🖐

Welcome to my Github

I'm a machine learning engineer/ data scientist with an extensive background in software engineering, DevOps and project management. I graduated in Applied A.I. Solutions Development from George Brown College.

What am I up to now..? I am currently a Student Researcher at GBC Research Center, developing A.I. solutions for green energy in transportation. And also the ML engineering team lead at M.N. Squared. Apart from that I am a student in Cloud Computing Technologies postgraduate program at George Brown College.

some quick facts about me:

  • 👯 I was a teaching assistant for Deep Learning II course at GBC
  • 🏔 I'm very excited about the A.I revolution, Assembly Theory and works of Gregory J. Chaitin
  • 📈 I've more than 10 years of experience in software development, DevOps and project management
  • 😎 I'm a mystic at heart and an history, anime nerd
  • 👯 I love to read and share ideas with others

💻 Tech Stack:

Python TensorFlow PyTorch Plotly Pandas NumPy scikit-learn SciPy OpenCV SpaCy Tableau

🌐 Get in Touch:

khandaker-nahid-mahmud khandaker-nahid-mahmud

Khandaker Nahid Mahmud's Projects

dalle2-pytorch icon dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

diffusion-sdf icon diffusion-sdf

Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions”

game-datasets icon game-datasets

:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games

generative_ai_with_langchain icon generative_ai_with_langchain

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

make-it-3d icon make-it-3d

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

models icon models

Models and examples built with TensorFlow

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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