Dikshith Vishnuvardhan

• Designed and built the entire data infrastructure from the ground up, including Entity Relationship Diagrams (ERD), database schema, and deployment of MySQL databases.
• Developed and deployed data mining scripts in Python to extract and process historical data spanning 10+ years from various web pages and APIs, ensuring data accuracy and scalability.
• Built full-stack applications by developing REST APIs using Flask for backend services and a responsive frontend interface using Next.js and Tailwind CSS, enhancing user experience.
• Implemented CI/CD pipelines with shell scripts for seamless integration and deployment of both frontend and backend systems using Git and Docker, improving release efficiency and minimizing downtime.
• Deployed applications on Google Cloud Platform (GCP) Compute Engine with domain configuration and SSL installation, ensuring security and high availability.
• Conducted unit testing and ensured code efficiency, contributing to a product that attracted 450 paying users and 250 daily active users (DAUs) within 4 weeks post-launch.

• Transformed unstructured survey data into actionable insights using MySQL and MS-Excel, producing reports that significantly improved the university's understanding of employment trends.
• Developed a robust application using NodeJS, ReactJS, and Canva Developer APIs for bulk creation of posters and invitations, streamlining event operations by 75%.
• Administered the WordPress Event Calendar on the university’s multi-site CMS, optimising event scheduling and management.

• Engineered an application integrating TikTok APIs and OpenAI to develop a personalised video recommendation system using NextJS, Tailwind CSS, TypeScript, and NodeJS.
• Deployed the application using Docker on Azure, providing a scalable solution for research into GPT's effectiveness as a recommendation model.
• Designed and implemented a client-side tracking solution to measure video watch times, generating critical data to assess GPT-driven content recommendations.

• Led the frontend development for a high-traffic application serving over 250,000 daily active users, achieving a Lighthouse performance score of 95 by optimising components built with ReactJS, NextJS, and Tailwind CSS.
• Directed a team of 3-4 developers to deliver the company’s first revenue-generating feature, boosting daily active users by 25% and driving immediate revenue post-launch.
• Collaborated closely with backend developers to integrate business logic, resulting in a 50% decrease in API response times and improved user experience.
• Implemented WebSockets for real-time communication and established comprehensive testing protocols, enhancing overall product reliability and user retention.
• Managed code versioning and control using Git CLI and Bitbucket.

Managed a high volume Shopify store for an Instagram Influencer with over 700k followers. Helped the store achieve USD 25k+ in sales month-on-month, 200k+ visitors monthly by optimising SEO and UI, and implementing abandoned cart marketing.

Developed multiple websites and landing pages using frameworks such as React.js, Next.js. Collaborated with developers to integrate business logic with user interfaces.

Moderated content for a social media application with over 250k+ DAUs (Daily Active Users). Managed a team of 10-15 moderators.