I'm an enthusiastic Backend Python Developer with a strong focus on designing scalable and efficient backend systems. I specialize in building secure, high performance APIs and services using Django, Flask, and other Python frameworks. Let’s collaborate and create innovative solutions together!
HTML5
CSS3
Tailwind CSS
Bootstrap
JavaScript
Python
Django
Flask
MySQL
SQLite3
Redis
AWS
Linux
Git
Docker
Nginx
Apache2
Raspberry Pi
Orange Pi
Banana Pi
Jetson Nano
IoT-based parking management with cloud integration.
Developed a smart parking solution utilizing Raspberry Pi to control entry and exit points.
Integrated RFID/NFC readers for access control and Flask for backend management.
The system includes a cloud server on AWS and a local server that communicates with Raspberry Pi devices to manage parking spaces and handle Fastag payments.
Controlled boom barriers and employed MQTT protocol for real-time communication between parking hardware and backend systems.
Ensured fast and reliable updates on parking availability using MQTT.
Key technologies: Django, Flask, MySQL, Redis, Raspberry Pi, RFID Reader, NFC Reader, LCD Display, LED Display, AWS Cloud, Local Server, MQTT, Tkinter.
Secure remote access solution using Django and REST API.
Built a Tmate server that enables remote SSH access to devices over the internet without the need for static IP or port forwarding.
Developed using Django and REST API to manage SSH sessions, providing a secure and efficient way to access devices remotely.
Utilized SQLite3 for database management to store session data and user configurations.
Designed the front-end with HTML, CSS, and JavaScript for a user-friendly interface to initiate and manage SSH connections.
The system allows users to seamlessly connect to remote devices and control them as if they were on the same local network.
Key technologies: Django, REST API, SQLite3, HTML, CSS, JavaScript.
Smart home automation using Raspberry Pi and Flask.
Developed and sold a smart home automation system that allows users to monitor temperature and humidity levels and control appliances like fans and lights through a web interface.
The system was built using Raspberry Pi for hardware integration, along with relays to control the appliances and temperature & humidity sensors for environmental monitoring.
Used Python and Flask to build the backend, managing appliance control and data monitoring.
Implemented SQLite3 for local data storage and Redis for real-time data caching and communication.