Piyush Kumar

College Predictor Development:

• Built a college predictor using Elasticsearch, Node.js, SQL, and Redis, enhancing the user experience by providing accurate and quick predictions.

Home Page Backend Development:

• Developed and maintained the backend of CollegeDunia’s home page using PHP and Node.js.
• Implemented Elasticsearch for full-text global search, ensuring smooth functionality and high performance.

Automated Notification System:

• Implemented a task to send notifications to colleges, exams pages, etc., upon data upload from CSV files.
• Enabled real-time updates to approximately 200,000 recipients at a time.

Website Optimization:

• Optimized the CollegeDunia website by integrating Redis and Elasticsearch.
• Provided efficient solutions using advanced data structures, significantly improving performance.

LMS Project:

• Worked on the Learning Management System (LMS) project for lead push to clients, ensuring seamless data flow and user interaction using Laravel, PHP, SQL, and MongoDB.

Ad System Project:

• Developed an ad system for running ads on college and institute pages using Node.js and Redis, enhancing the site’s monetization capabilities.

Bloom Filter Implementation:

• Used Bloom Filter to efficiently check if a username or mobile number already exists in the database.