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Saloni-0465/README.md
Typing intro

Computer science · India

GitHub followers LinkedIn View resume

About

I'm a developer focused on backend systems, machine learning, and applied AI—from APIs and data pipelines to models that spot patterns and trends. I like clear architecture, reproducible experiments, and code that teammates can actually maintain.

Tech I work with

Python JavaScript TensorFlow scikit-learn Jupyter Git

Pinned highlights

Project Description
backend-roorkee Backend work in Python
Trend-and-event-detector-AI-model AI for detecting trends and events
Schedulix CPU scheduling visualizer (JS)
shap · sktime Explaining ML outputs & time-series ML

GitHub activity

Public repositories Followers Following

Profile · Repositories · Achievements

Open to collaborating on ML, backend, and open-source tooling.

Profile README for @Saloni-0465

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  1. Trend-and-event-detector-AI-model Trend-and-event-detector-AI-model Public

    Python

  2. Schedulix Schedulix Public

    Forked from BelalRaza/Schedulix

    CPU Scheduling Visualizer

    JavaScript

  3. shap shap Public

    Forked from shap/shap

    A game theoretic approach to explain the output of any machine learning model.

    Jupyter Notebook

  4. sktime sktime Public

    Forked from sktime/sktime

    A unified framework for machine learning with time series

    Python

  5. sktime/sktime-mcp sktime/sktime-mcp Public

    An MCP (Model Context Protocol) layer that exposes sktime’s native registry and semantics to an LLM

    Python 17 75

  6. Carbs-ai Carbs-ai Public

    Forked from abhay-dev2901/Carbs-ai

    Python