DHRUV PARMAR

Built and maintained 15+ RESTful APIs using Django REST Framework (DRF) for an internal Moderation Portal, enabling seamless integration with frontend systems and ensuring scalable, maintainable backend architecture.

Optimized Django views and queries, improving application performance and stability.

Integrated microservices using RabbitMQ to establish a high-throughput pipeline, efficiently processing AI image generation requests for over 20,000 daily users.

Architected a blueprint for a product recognition system, enabling image uploads where an open-source model identifies objects and returns stores selling the matched product, reducing manual product searches by 30% and enhancing user experience.

Built a containerized authentication system using Golang, improving internal user management and easing deployment across environments.

Designed and implemented scalable database architecture, APIs for a Shopify Product Reviews app, processing 1000+ daily submissions.

Developed an admin panel for managing store reviews, allowing control over review publication, anonymous submissions, minimum star ratings, and restricting reviews to verified purchasers.

Designed and managed email templates for the store, automating communications such as order confirmations, shipping updates, and post-purchase reminders, leading to a 40% increase in customer review submissions and improved engagement.

Utilized AWS S3 to manage image and video uploads for user reviews, ensuring efficient retrieval and seamless frontend display with secure and optimized storage solutions.

Mentored 3 interns, conducted 15+ code reviews, and helped the team meet 100% of sprint goals during the internship cycle

Contributed significantly with 46 PRs merged into main branch & deployed to production in 3 months

Migrated 5+ components to TypeScript, improving code integrity developer experience.

Identified and fixed Storybook bugs, improving UI functionality.

Migrated constants to enums and conducted widespread replacements across multiple files, resulting in improved code maintainability and adherence to best practices.