Akash C

• Contributed to the development of a cutting-edge ELT (Extract, Load, Transform) web application using Django as a full-stack framework, supporting both backend processing and dynamic frontend rendering for efficient data management and user interactions.
• Designed and implemented Docker containerization to deploy the application on Google Cloud Compute Engine, resulting in enhanced availability, scalability, and streamlined deployment workflows.
• Configured and optimized the application server setup with Nginx as a reverse proxy, alongside Gunicorn as the WSGI HTTP server, to securely handle high volumes of traffic with HTTPS encryption.
• Leveraged PostgreSQL for efficient data storage and retrieval, focusing on performance tuning and database optimization to handle complex queries and large datasets with ease.
• Developed the backend APIs using Flask within a microservices architecture, integrating them with the Django-based system for handling specialized tasks and services.
• Designed and implemented responsive frontend components using JavaScript, HTML5, and CSS3, delivering a seamless and user-friendly interface across various devices and screen sizes.
• Enhanced user interaction through AJAX-based asynchronous data fetching, enabling real-time updates and a smooth, interactive user experience without full-page reloads.
• Collaborated closely with the product team to define and implement new features, improving the overall functionality and performance of the application.

• Developed a project on Stock Market Prediction using Sentimental Analysis and Deep Learning

Python Developer Intern.|Luminar Technolab, May 2023 - Present

• Created a highly scalable e-commerce platform by leveraging the power of Python, Django, and Django REST Framework. Prioritized modular design approach, coupled with performance optimization.
• Implemented core functionalities including product catalog management, shopping cart, and checkout processes to enhance user experience and backend support.
• Integrated HTML5 and JavaScript to develop dynamic and responsive UI components, boosting client-side interactivity and user engagement
• Achieved enhanced responsiveness and efficiency of the site by using Django templates for server-side rendering and integrating AJAX for real-time data updates without page reloads.
• Optimized database queries with Django's ORM and PostgreSQL for efficient handling of large datasets, enabling fast data retrieval and scalability
• Enhanced efficiency of e-commerce operations by integrating and utilizing third-party APIs for payment processing, shipping, and inventory management.