▪ Working on new pipelines to use identity data for AI algorithms used in real-time bidding and forecasting

▪ Working on reducing latency in a low latency system (p99 10ms) by rewriting the entire async Aerospike client

▪ Implemented an efficient data structure to store advertisement frequency log within the in-memory database

▪ Developed a new encoding algorithm yielding a 30% reduction in frequency map’s memory usage during bidding

▪ Developed retry feature for VM placement in Cloud Director 10.4 reducing power-on failures by 80%

▪ Improved VM deletion workflow that strengthens protection against major VM data loss

▪ Optimized queries for Virtual Machine Inventory that led to reduction in database latency by 15%

▪ Maintained Continuous testing performance over 98% for vdc-service components for Patch releases

▪ Responsible for fixing bugs under VM Management domain, resolved over 120 issues and escalations

▪ Pioneered various novel Serviceability tools for speeding up Root Cause Analysis as part of the Cloud Director Team

▪ Implemented an automation tool to extract insights from multi-cell logs in a distributed system

▪ Built a cli-based tool that collects and organizes information about the database and resource infrastructure health

Technologies Used: Bash, Java, Spring Boot, Hibernate, PSQL, Log4j

▪ Worked on a scalable distributed system backend and implemented REST APIs in Java and MongoDB

▪ Implemented Search function APIs using Spring Boot and Geospatial caching using Jedis

Technologies Used: REST API, Java, Spring, Hibernate, JUnit, Jedis, Postman, MongoDB, Docker

Led a team of 5 to develop an Augmented Reality based Application for the Smart India Hackathon 2019 competing against 210,000+ participants