Kummari Sai Chaithanya

About Me

MERN Stack Developer with AI Integration

I am a passionate full-stack developer specializing in the MERN stack (MongoDB, Express, React, Node.js) with a strong foundation in AI and Machine Learning integration. I enjoy building intelligent web applications that combine modern frontend experiences with powerful backend systems and data-driven insights.

My journey spans from developing responsive user interfaces to deploying scalable APIs and integrating machine learning models into production-ready applications.

3+ ML Projects

2+ MERN Projects

1 Internship

Projects

A selection of my work across AI/ML and Full Stack Development

Project Preview

Learning Management System (LMS) Portal

A modern, responsive, full-stack LMS platform built with the MERN stack. Features secure student authentication, course catalog browsing, enrollment, and a My Courses dashboard with video player integration. Includes a dedicated admin dashboard with role-based access control for full course CRUD management and video module mapping.

MongoDB Express React Node.js Bootstrap

Project Preview

Telangana Ruchulu — Restaurant Website

A conversion-focused single-page restaurant website for authentic Telangana cuisine in LB Nagar, Hyderabad. Built with React 18, Vite, Tailwind CSS, and Framer Motion via AI-assisted prompts. Features sticky Call Now button, floating WhatsApp CTA, Google Maps integration, testimonials, and a weekend special scarcity banner.

React Vite Tailwind CSS Framer Motion shadcn/ui

Project Preview

Healthmate

Developed a Personalized Wellness Guide by engineering a Machine Learning system to predict nutrient deficiencies using SVM and XGBoost algorithms. Processed health datasets using NumPy and Pandas for feature engineering and model optimization. Built and deployed a Flask-based backend API integrating Scikit-learn models for real-time nutritional recommendations.

SVM XGBoost Flask Scikit-learn NumPy

Project Preview

Analysis and Prediction of Workplace Accidents using ML

Developed a machine learning model to analyze and predict workplace accidents using occupational safety datasets. Implemented classification algorithms in Python using Scikit-learn to identify high-risk patterns and enhance prediction accuracy. Performed data preprocessing and feature engineering using Pandas.

Python Scikit-learn Pandas Classification

Technical Skills

Technologies I work with

Web Technologies

HTML

CSS

JavaScript

Programming Languages

Python

Java

Databases

MySQL

MongoDB

Full Stack

MERN Stack

Node.js

Express.js

MongoDB

React.js

Tools & Platforms

Git

GitHub

Visual Studio Code

AI Platforms

Lovable

Cursor

Antigravity

Windsurf

Bolt

Emergent

Experience

My professional journey

Nov 2025 – Dec 2025

Front-End Development Intern

Cognifyz Technologies

Worked on developing responsive and user-friendly web interfaces, collaborating with backend teams for API integration, and improving performance and cross-browser compatibility. Gained hands-on experience in front-end development, debugging, and real-world project implementation.

Get In Touch

Have a project, opportunity, or just want to say hi? I'd love to hear from you.

Email

saichaithanyakummari@gmail.com

Phone

+91 7036993492

Location

India