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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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ParthShikhare19/README.md


About Me

Building practical software across full-stack development, backend engineering and artificial intelligence.


Parth Shikhare

I am a B.E. Information Technology student at Don Bosco Institute of Technology (DBIT), Mumbai, focused on building modern software applications and exploring intelligent systems.

My work combines full-stack development, backend engineering, databases and AI/ML. I enjoy taking an idea from its initial concept through implementation and turning it into a working application.


Currently focused on

  • Full-stack web application development
  • Backend systems and REST APIs
  • Machine Learning
  • LLM applications and RAG
  • AI-powered software
  • System design and scalable architecture

Development approach

I prefer learning through implementation — understanding a problem, building a solution, testing it, and continuously improving it.

Developer coding



Building



Exploring

Technology Stack

The technologies I use across application development, AI/ML, data and engineering.


Languages

Python
Java
JavaScript

Frontend

HTML5
CSS3
React

Backend

FastAPI
Django
Flask
Node.js
Express.js

AI / ML

Scikit-learn
Pandas
NumPy

Generative AI
LLMs RAG AI Agents LangChain Embeddings FAISS Vector Databases

Databases

PostgreSQL
MySQL
MongoDB
SQLite

Tools

Git
GitHub
VS Code

Featured Projects

A selection of projects covering automation, monitoring and AI/ML.


01

DeployX

Automated Software Deployment

Platform for automating bulk software deployment across multiple systems.


React FastAPI PostgreSQL Python

02

NexusGrid

Real-Time Lab Monitoring

Full-stack monitoring platform with system health checks, QR-based fault reporting, role-based dashboards and analytics.


Django TypeScript PostgreSQL

03

SymptoGuide

AI-Powered Health Guidance

AI-powered application designed to help users understand symptoms and receive relevant health information.


Python AI / ML FastAPI

04

IPL Predictor

Machine Learning Prediction

Machine learning application for predicting IPL match outcomes using historical cricket data and predictive analytics.


Python Pandas Scikit-learn

GitHub Trophy Wall

A visual snapshot of my GitHub activity and achievements.


GitHub Trophies


Pull Shark

    

YOLO

GitHub Analytics

Contributions, repositories and development activity.


GitHub Profile Details



GitHub Statistics

GitHub Streak



Repositories Per Language

Most Used Languages


Contribution Activity

Consistency compounds.


Contribution Graph



GitHub Contribution Snake


Let's Connect

Interested in technology, AI/ML, backend systems or building something meaningful?




Pinned Loading

  1. Nischay-loq/DeployX Nischay-loq/DeployX Public

    DeployX is a specially curated platform designed to streamline and automate bulk software deployment across multiple systems with ease and efficiency.

    JavaScript 3 2

  2. Ai-Chetan/NexusGrid Ai-Chetan/NexusGrid Public

    NexusGrid – A full-stack, automated system monitoring and management platform with real-time health checks, QR code-based fault reporting, role-based dashboards, and analytics. Built with Django, a…

    TypeScript 2

  3. SymptoGuide SymptoGuide Public

    An AI-powered healthcare assistant that analyzes symptoms, predicts potential conditions, and provides personalized health recommendations with nearby hospital location services.

    TypeScript 2 1

  4. IPL_Predictor IPL_Predictor Public

    Machine learning application for predicting IPL match outcomes using historical cricket data and predictive analytics.

    Python