Enthusiastic and detail-oriented software developer with a strong interest in Backend Development, Artificial Intelligence, and Machine Learning. Proficient in various programming languages and frameworks essential for backend development, and in data analysis and machine learning. Adept at designing and implementing robust server-side logic, optimizing database queries, and analyzing data to derive actionable insights.

📧 How to reach me: [email protected]

During an academic session, our team collaborated on building a URL shortener project using Django, GraphQL, and REST API. The goal was to create a robust and efficient application that shortens long URLs while providing insightful analytics on link usage.

Key Contributions:

• Backend Development: Utilized Django to create a reliable and scalable backend, ensuring seamless management of URL data.
• API Integration: Implemented both GraphQL and REST API to facilitate flexible and efficient querying of data, enhancing the application's performance and user experience.
• Team Collaboration: Worked closely with team members, dividing tasks effectively to maximize productivity and ensure timely completion of project milestones.
• Feature Implementation: Developed key features such as URL creation, redirection, and analytics tracking, ensuring a user-friendly interface and comprehensive functionality.
• Testing and Deployment: Conducted thorough testing to identify and fix bugs, and deployed the application in a cloud environment to ensure accessibility and reliability.

This project not only enhanced our technical skills in Django, GraphQL, and REST API but also reinforced the importance of teamwork and effective project management in software development.

• Developed for the SGTU Hackathon 2024.
• Leveraged Python libraries for natural language processing (NLP) and API integration.
• Engineered customizable web integration solutions to meet the specific requirements of end-users and developers.
• Utilized version control with Git for collaborative development.
• Implemented unit testing to ensure code reliability and functionality.

• Designed a Hand Sign Detector for the KRMU Hackathon 2024.
• Leveraged expertise in computer vision using OpenCV and machine learning algorithms.
• Facilitated non-verbal communication through advanced gesture recognition techniques.
• Implemented model training and evaluation using googleteachable machines.
• Applied image processing techniques to enhance detection accuracy.

Python3	C	JS	Rust

Pytorch	Selenium	Numpy	Pandas	Sklearn	Matplotlib	OpenCV

Jupyter	Postgres	SQLite

Git	Docker	Pytest	Postman	Virtual Box

Linux	Ubuntu	Kali

Django	FastAPI	DRF