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Rishabh-git10/README.md

Rishabh Dewangan

I am a Machine Learning Engineer focused on AI infrastructure, mathematical modeling, and open-source development.

Selected Open Source Contributions

  • NumPy: Added N-D evaluation (valnd) to the polynomial module (#30870)
  • OptunaHub: Implemented DistributionallyRobustSampler for OptunaHub (#362)
  • OptunaHub: Added HeteroscedasticGPSampler with noise function support (#355)
  • Authentik: Evaluated property mappings in client credentials JWT flow (#20979)

Projects

  • MedXpert: Full-stack diagnostic AI microservice featuring Grad-CAM explainability and a Gemini-powered RAG pipeline (PyTorch, FastAPI, ChromaDB, Docker).
  • SkinDoc: On-device mobile application for real-time skin lesion classification utilizing a fine-tuned MobileNet model (Flutter, TensorFlow Lite).

Contact

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  1. MedXpert MedXpert Public

    MedXpert is an end-to-end medical imaging system that performs medical reasoning on Chest X-Ray images.

    Python

  2. SkinDoc SkinDoc Public

    A Flutter App that enables the user to click a photo/upload from gallery of a Skin Lesion, and determine, what type of Skin Lesion it is, or even if it is the result of Skin Cancer.

    Jupyter Notebook