Devansh Sharma

Transitioned from traditional keyword searches to advanced vector algorithms, which led to improved result relevance enhancing user experience. Wrote Python script to parse highly nested JSON to take 5000 contents, authors, tags, etc and index them in Elasticsearch for efficient retrieval. Developed an automated process using cron jobs to sync between databases, reducing manual update efforts from daily tasks to once weekly while maintaining accurate data flow throughout systems. Implemented Docker to containerize the FastAPI backend, resulting in a streamlined deployment process that reduced setup time by 40% and improved scalability for handling user traffic during peak hours.

Modernized operations by digitizing business processes, eliminating paper-based systems while cutting labor costs and reducing overhead expenses. Developed modular Angular components, enhancing user interface consistency across application and facilitating unit testing that significantly reduced debugging time. Managed SQL server database interactions efficiently using NHibernate in .NET application reducing data retrieval latency by 30% while ensuring seamless data integrity across business units.