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parikshitkumar1/readme.md

Parikshit Kumar

Machine Learning Engineer | Generative Models | Computer Vision

I build and ship machine learning systems that live in real products, not just notebooks. My work spans generative models, computer vision and data platforms from early prototypes through to production rollouts.

  • Deep learning, LLMs, diffusion models, CV
  • Python, PyTorch, TensorFlow, Keras, OpenCV
  • GCP, AWS, MLOps, Docker, Kubernetes

GitHub • LinkedIn • Website

Building practical ML systems that people actually use.

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  1. apollodB apollodB Public

    audiophile grade ai eq (beta)

    Python 1

  2. Image-Generation-using-Generative-Networks Image-Generation-using-Generative-Networks Public

    A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

    Python 3

  3. Generative_Modeling Generative_Modeling Public

    Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.

    Jupyter Notebook 2

  4. fundmachine fundmachine Public

    copilot for funding (early startups)

    Python 1