Optimized system performance, reducing response time by 80% for a core service responsible for generatingvisit IDs used by multiple microservices at Paisabazaar. Acheived this by leveraging promises and a failsafemechanism using technologies such as Node.js, Python, Redis, Kafka, MySQL, and Cassandra.• Implemented a rate limiter for one of the most critical services at Paisabazaar responsible for externalcommunications achieving a 10% reduction in dropped requests. Tech stack used: Node.js, Python, Redis,Node-Cache, and Apache Kafka.• Co-developed a robust Java package for company-wide authentication and authorization of microservices,enhancing security measures, system integrity, and request monitoring. Leveraged technologies such as Java,Servlet, Redis, Maven, NPM, LRU caching.• Collaborated with IDFY to integrate a video KYC process for personal loan applications at Paisabazaar,streamlining customer verification and ensuring regulatory compliance. Tech stack used: Node.js, MongoDB.• Created efficient panels in the Paisabazaar’s internal service using React.js, Redux, CSS, Node.js and MySQL,few of them were a Voucher Management Panel that reduced the time for voucher creation and allocation by15%, and a Refund Initiation Panel that cut refund processing time by 20%.

- Made contact with HRs and agencies to engage students into placement events.

-Worked with the founding team to develop the shopping website with techstacks django, flask, kubernetes, docker.

-Worked on Machine Learning Algorithms to generate an application that predicts stock market prices based on 25 years of BSE data.