1. Solved Memory Intensive operation using streams and inline function. This helped in memory utilisation to go under 30 percent which was not running due to out of memory exception

1. Graceful termination of persistent HTTP connection. This reduced booking loss while application restarted. This also helped in traffic migration from one data centre to another.2. Identified and Addressed Garbage collector issue which reduced the usage of memory and improving performance of service deployed. This also helped improving knowledge base of team with different types of garbage collector availabile.3. Built new service using Akka Flows in Kotlin which helped in easy thread pool management. This new application produced results twice faster and at half memory utilisation.

1. Designed, developed and Implemented framework for extracting paginated-filtered data from RDS in configurable formats to reduce code dependencies. This framework provisions filters like equal to, greater than, less than and not equal to.2. Implemented scraping using Page Object Model and Observer Pattern for retrieving data from third party web services.3. Reduction in overall AWS usage cost to the extent of 50% within a month after revisiting and regular monitoring of AWS services and ensuring running of production service.

1. Automated, configurable Ingestion Pipeline System - Implemented, tested and deployed an automated ingestion pipeline  for customer care call data to a backend ElasticSearch cluster which handles ingestion of about 150,000 call data per day.2. Excel Template Data Ingestion while maintaining Pivot tables - Designed, implemented, tested and deployed data ingestion with pivot tables in Excel templates.3. Reduction to less than 1 sec in reading a file which took more than 1 minute by changing the format of storing the file and taking control of each column which resulted in overall reduction of time in ingestion system

Worked on developing a detailed UI dashboard with a drill down functionality for solar generation metrics aiding in fault detection, calculating efficiency, etc.