Ayush Patel

AI Enthusiast | Building Intelligent Systems

Focused on Machine Learning, Computer Vision, and Generative AI to solve real-world problems.

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Portrait of Ayush Patel, Backend Developer and AI Systems Engineer

About Me

I am a Computer Engineering student passionate about AI/ML and building AI-powered solutions using Python, Computer Vision, and Generative AI. My focus is on real-world automation and intelligent systems that solve practical problems.

Technical Skills

Backend

  • Python
  • Django
  • Django REST Framework
  • Flask

Databases

  • PostgreSQL
  • MySQL
  • SQLite

Frontend

  • HTML & CSS
  • JavaScript
  • React (Basic)

Programming

  • Python
  • SQL

Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning (Basics)

AI

  • Generative AI (LLMs)
  • Prompt Engineering
  • RAG
  • Computer Vision (OpenCV, Image Processing)

Backend & APIs

  • Django
  • Flask
  • REST APIs

Databases & Tools

  • PostgreSQL
  • MySQL
  • Git
  • Docker
  • Postman
  • Jupyter

Featured Projects

AI Interior Design Assistant (Ongoing)

An AI-powered system that analyzes room images and suggests interior design layouts using Computer Vision and AI to support real-world automation.

PythonOpenCVAI/ML

AI-Powered Database Chatbot

A secure AI-powered system that converts natural language queries into validated SQL and executes them safely on PostgreSQL databases.

DjangoPostgreSQLDockerHTMLCSS
  • Natural Language → SQL conversion
  • JSON-based query validation for security
  • Fully Dockerized using Docker Compose
GitHub Repository

Beauty & Cosmetics E-Commerce Platform

Shree Krishna Beauty Products

A production-ready e-commerce website for beauty and cosmetic products, built for real users with a clean and responsive UI.

ReactDjango REST FrameworkPostgreSQL
  • Live production website
  • Product listing with categories
  • Responsive customer-facing UI
  • Frontend deployed on Vercel
View Live Site GitHub
Shree Krishna Beauty Products Website Preview

Invoice Builder Web Application

A web-based invoice generation system built using Flask that allows users to create professional invoices, store invoice data in a MySQL database, and generate downloadable PDF invoices.

FlaskPythonHTMLCSSMySQL
  • Form-based UI for invoice creation
  • Backend validation and business logic using Flask
  • Invoice data stored in MySQL database
  • Dynamic HTML-to-PDF invoice generation
GitHub Repository

Blog Application (Django REST Framework)

A backend-driven blog application built using Django REST Framework that exposes clean RESTful APIs for managing blog posts with full CRUD functionality and proper API structure.

PythonDjangoDRFPostgreSQL
  • RESTful APIs for creating, reading, updating, and deleting blog posts
  • Clean API design following DRF best practices
  • Database integration using PostgreSQL
  • Backend-focused project suitable for frontend or mobile consumption
GitHub Repository

Interactive Web Calculator

A responsive web-based calculator with a clean user interface, supporting basic arithmetic operations and keyboard input.

HTMLCSSJavaScript
  • Real-time calculation logic
  • Keyboard support for enhanced usability
  • Responsive glassmorphism UI design
View Live Site GitHub Repository

Experience

Software Developer

SrashtaSoft (Current)

  • Developing scalable backend architectures using Django and PostgreSQL.
  • Designing optimized database schemas and executing complex SQL queries.
  • Implementing real-time communication systems using MQTT protocol.
  • Collaborating on performance optimization, debugging, and feature deployment.

Python Development Intern

Pyonix Technology

  • Built backend logic using Python and Django
  • Improved database queries and API performance

Microsoft Data & AI Internship

Microsoft & CloudThat

  • Worked with data handling and AI fundamentals
  • Gained exposure to cloud and data workflows

Education

Bachelor of Technology (B.Tech) – Computer Engineering

Shree Swaminarayan Institute of Technology, Ahmedabad

2022–2026

CGPA: 8.34