Dec 2024 – Apr 2025 · 4 mos

• Scalable web platforms for diverse domains, unifying architecture across AI interaction, HR management, and fitness ecosystems - strengthened reliability, data security, and user engagement across all products.
• Reusable component architecture that standardized UI/UX across multiple applications - improved design consistency and reduced frontend maintenance overhead.
• Robust backend framework using Node.js and Express, introducing modular APIs, middleware for authentication, and MongoDB schemas - streamlined data exchange and improved request efficiency.
• JWT-based access control and role-aware routing integrated into full-stack flows - enhanced data privacy and safeguarded admin operations.
• Admin dashboards with analytics, content control, and AI-chat modules, enabling faster decision-making and automated moderation - reduced manual workload across internal operations.
• Real-time communication via Socket.io and automated tasks via cron jobs, facilitating instant notifications and daily activity tracking - improved responsiveness and system accuracy.
• Cloud-native deployment and version control with Git/GitHub, ensuring reliable releases and high uptime with smooth CI/CD pipelines.
• Outcome: Collective impact led to measurable increases in platform responsiveness, operational efficiency, and overall user retention, with modular codebases enabling rapid feature iteration across all products.

Jul 2024 – Sep 2024 · 2 mos

• Learned Flask and Django to build backend applications that connect databases to simple frontend interfaces.
• Focused on understanding how to set up and work with models.
• Faced issues with outdated libraries for MongoDB and PostgreSQL, which had bugs and didn’t work with the latest Python versions.

Apr 2024 – Jun 2024 · 2 mos

• Analyzed agricultural data over many years, found key trends, and improved the data by cleaning it, creating new features, and combining data from different sources like crops, states, years, and seasons.
• Built and fine-tuned predictive models (like Random Forest, Decision Tree, etc.) using technique (like GridSearchCV), which increased the accuracy of crop yield prediction by 1.5% - 2%.
• Developed an easy-to-use app that lets people interact with data in real-time, giving helpful insights to make better decisions.

Jul 2023 – Sep 2023 · 2 mos

• Improved the application’s UI/UX using React.js and TailwindCSS, giving the interface a cleaner and more consistent design, which made it easier for users to navigate.
• Updated key navigation flows and responsive layouts, making the app more accessible across devices and easier to interact with.
• Made the overall user experience smoother and more engaging, helping users find and play music more easily and improving the platform’s visual appeal.