KUNAL YELGATE

FULL-STACK DEVELOPER

I build full-stack web apps, explore AI/ML, and ship real-world solutions with clean code and cloud power.

Open to Collaborations

About Me

ABOUT ME

I'm Kunal Janardhan Yelgate a 3rd year B.Tech Computer Science student (2025–2028) with a deep curiosity for how things work under the hood. My journey into tech started with a simple fascination for problem-solving, and it quickly grew into a full-blown obsession with building things that live on the web.

I specialize in full-stack web development — from crafting responsive UIs with React and Tailwind to architecting backends with Node.js and Express. I'm equally at home training ML models with Python and OpenCV as I am deploying containers on Google Cloud Platform. What drives me isn't just writing code — it's shipping projects that solve real problems for real people.

Right now, I'm diving deep into System Design, DSA, and Backend Architecture while sharpening my skills in Machine Learning. I'm actively looking for internships and collaboration opportunities where I can learn from experienced teams and contribute meaningfully. If you're building something cool, I want in.

Player Stats

Current skill tree progression and tech stack mastery

LanguagesLVL 88
CC++JavaPythonJavaScriptTypeScript
FrontendLVL 91
HTMLCSSTailwind CSSBootstrap
Backend & CloudLVL 83
Node.jsExpress.jsGoogle Cloud Platform (GCP)Docker
Database & ServicesLVL 87
MongoDBFirebase
Tools & OthersLVL 85
GitGitHub
CURRENTLY LEVELING UP
Advanced JavaScriptBackend Development & System DesignMachine Learning FundamentalsData Structures & Algorithms

Academy Level

Educational journey and academic achievements

B.TECH IN COMPUTER SCIENCE ENGINEERING

Shri Guru Gobind Singhji Institute of Engineering and Technology (SGGSIET), Nanded
Duration2025 – 2028
CGPA8

Currently pursuing B.Tech and actively building projects

Data Structures & AlgorithmsObject-Oriented ProgrammingWeb DevelopmentDatabase Management SystemsMachine Learning Fundamentals

DIPLOMA IN ELECTRONIC AND TELECOMMUNICATION

VDF School of Polytechnic, Latur
Duration2022 - 2025
Percentage92.06%

High school completion details — add your board and percentage

NetworkingElectronics ComponentsCommunication

Project Log

Side projects completed on the journey

CONTACTAPP

Smart desktop contact manager with CSV persistence

EASY

A Java Swing desktop application for managing personal and professional contacts with CSV-based persistent storage. Features include add/delete contacts, real-time search by name, favorite toggle with ★ prefix, auto-sort A→Z, CSV export/download, input validation for 10-digit mobile and valid email, and automatic load/save on startup.

JavaJava SwingCSV file storage

WHITE BOARD

Real-time collaborative drawing canvas

MEDIUM

A collaborative whiteboard and drawing application built with TypeScript and React. Users can draw, sketch, and collaborate in real-time on a shared canvas — perfect for brainstorming sessions, remote teaching, or quick visual notes. Features smooth drawing strokes, canvas state management, and an intuitive interface.

TypeScriptReactSocket.IO

TASKFLOW AUTOMATION

WhatsApp Business API automation toolkit

HARD

Automation tools and scripts designed to simplify daily operations, task scheduling, and workflow management. The core script (Chat.py) is a WhatsApp Business API bulk & single message sender — supporting individual or multiple recipients with configurable delays, an interactive CLI, input validation, and real-time send summaries. Integrates with the Meta/WhatsApp Business API via Python.

PythonWhatsApp Business APIMeta Graph APIREST APIs

PORTFOLIO NEXTJS

This portfolio built with Next.js 13

MEDIUM

A personal portfolio site built with Next.js 13, App Router, and modern CSS. The site demonstrates responsive layouts, reusable components, and deployable artifacts with CI/CD.

Next.jsReactCSSTypescriptNode.js

GITHUB REPO ANALYZER

Small-scale ML experiments and deployments

MEDIUM

it is a Collection of small machine learning experiments, model training notebooks, and simple Flask-based deployments showcasing pipelines for data preprocessing and model serving.

Pythonscikit-learnFlask

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