Hi! I'm Jayesh Muley

developer and competitive programmer.

Passionate about software development, automation, and competitive programming. Focused on enabling computers to efficiently process and understand visual data while staying organized in all tasks.

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Introduction

About me

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Developer and competitive programmer currently pursuing a Master’s degree at VIT Bhopal. As a Core Member of the Android Club, actively contributes to technical initiatives and social media strategy. Proficient in the MERN stack, with hands-on experience in MongoDB, Express.js, React.js, and Node.js to build full-stack web applications. Well-versed in Redux for state management and JWT for authentication. In machine learning, specializes in natural language processing (NLP) using Python libraries such as NLTK and spaCy, complemented by deep learning frameworks like TensorFlow and PyTorch. Driven by a passion for solving real-world problems through scalable, user-centric solutions and collaborative teamwork.

  • Languages

    Languages

    HTML, CSS, JavaScript, React Js, Next Js, Java, Python

  • Education

    Education

    Integrated M.Tech in Artificial Intelligence

  • Projects

    Projects

    Built more than 5 projects across diverse domains, including ML and Web Dev.

Tools I use

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What I offer

My Services

Web developer, machine learning enthusiast, and competitive programmer, currently exploring the depths of neural networking concepts.

Web design

Three distinct websites—Nutrivista, GraminMitra, and TexBee—were designed with a focus on responsiveness, clean layouts, and easy navigation. Built using HTML, CSS, and React.js, each site reflects its unique purpose and user needs.

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ML Models

Machine learning models were developed for job recommendations, chatbot assistance, and stress detection. Built with Python and TensorFlow, these models aim for real-world impact through accuracy, speed, and smooth integration with web platforms.

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Research Paper

Compared classical ML and deep learning techniques for deepfake detection. Using FaceForensics++ data, CNNs outperformed models like SVM and Random Forest in accuracy, showing the strength of automated feature learning.

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Graphics design

Visual designs including logos, UI mockups, and social media creatives were crafted for Nutrivista, GraminMitra, and TexBee. Tools like Figma and Canva helped ensure a consistent, clean, and engaging visual identity throughout.

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My portfolio

My latest work

Welcome to my web development portfolio! Explore a collection of projects showcasing my expertise in front-end development.

Nutrivista

Web & UI/UX Design

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GraminMitra

Web & UI/UX Design

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Texbee

Web & UI/UX Design

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ML Projects

Algorithmic Prediction Tasks

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Connect with me

Get in touch

I'd love to hear from you! If you have any questions, comments, or feedback, please use the form below.

jayeshmuley31@gmail.com

© 2025 Jayesh Muley. All rights reserved.