- Working in the user insights team on both data storing and data serving layers.- Under Flipkart’s flagship Big Billion Day (BBD) sale, took the ownership of the click streaming NRT pipelines.- Worked on data serving endpoints having high priority latency SLAs, payload size limited to few kbs and a huge request count.- Mentoring freshers, developing insightful problems for new joiners, taking regular interviews and improving documentation.

• Working as a Software Engineer in the backend platform services in a dynamic start up environment.• Contributed to the open source Affinidi CLI implementing features and improvements. Helped to close major tickets in 15 days for beta release.• Worked on the migration to the genesis framework, adopting a serverless approach, resulting in a $15,000 AWS cost reduction. Adopted singletable DynamoDB design, replacing Postgres for each service.• Implemented major security improvements and service migration, including developing a robust RBAC system.• Developed the new payments system, including designing the system architecture, improving efficiency, ensuring seamless and secure transactions and handling edge case scenarios. Handled 1000s of transactions averaging a total of Rs 1 million per month. Supported both coin currency and monetary transactions.• Developed the vernacular system for multilingual support involving HLD and Low level design.

• Worked in the field of Machine Learning and Natural Language Processing using Java to develop a software solution that significantly reduced project handover time by extracting pertinent information from RFP documents and generating detailed information reports in under 5 minutes.• Spearheaded the creation of an innovative document keyword extraction solution based on mathematical models, completing both major projects in under 7 months.• Independently managed all project requirements, working closely with senior scientists.• Authored the research paper along with 3 senior scientists detailing the solution, which was accepted for presentation at ISEC 2022.

Worked as a Machine Learning Intern performing data analysis and prediction using Python frameworks.