➢ Develop new features and added new data points/signals to the data processing pipeline for enhancing the fraud detection for MS Sign-Ins➢ Provide location-based signals for the Sign-Ins to enhance security and drive value customers ➢ Designed and built safety gates for all external data sources consumed by PSI services like location, browser session and many other data types. Built Machine Learning pipelines running on Spark/Synapse to access data quality before consuming any external data➢ Monitor the health of PSI services and make sure applications are robust and reliable. Responsible for making sure these applications have 100% availability and no sign-in fails due to service downtime or failures, thereby ensuring quality of service to the customer. PSI serves millions of sign-in calls per hour each day

IBM Systems - Z Anomaly Analysis (ZAA)• ZAA aims at reducing mainframe outages and their business impacts via near real time ingestion and curation of large amounts of structured and unstructured operational data such as DB2 and CICS • Enhanced ZAA anomaly detection algorithm to run specific model based on KPI and enabled execution for specific KPI resulting in more accurate anomaly detection and better performance • Accelerated performance and implemented parallel processing in Apache Spark application which decreased processing more than 20 folds enabling ZAA to detect anomaly in real time • Spearheaded the development of testing framework for Java and Scala code base bringing up unit test coverage from 0 to more than 60% in one year

IBM Marketplace – Universal Master catalog (UMC)• Aggregated, Transformed and Maintained consistent data from more than 20 IBM systems making +7M APIs calls to provide the single, official IBM product catalog, and made it available to internal and external consumers • Developed and enhanced performance of UMC services which comprise of Aggregation and Read APIs as well as Task Scheduler and Runner to transform product information with ZERO downtime • UMC is high performing APIs with MEAN based architecture which uses Travis and IBM Cloud for deployment purposes and leverage RabbitMQ, NewRelic, SonarQube and LogEntries for supervision and logging UMC Key Performance Metrics: • 10M total API calls at ~17ms per call (All UMC Services) with 500K 3rd Party API calls everyday • 2005 Offerings in 15 languages/56 locales representing +255,000 Offering Pages • Deployed in 4 strategically selected geographical locations in Kube clusters with failovers • 1.5M API calls to build the index for IBM Search • Less than 5 minutes of downtime in year 2019-20

Watson Health - Flexible Analytics • Enabled Analytics Engine medical claims data mining methodologies to run on Spark resulting in better performance, load balancing and fault tolerance • Developed Spark application that can be triggered through REST APIs built on Java Spring framework using Gradle and Ansible for deployment. Setup CI/CD pipeline for product using Jenkins and IBM cloud • Implemented SMART on FHIR lightweight web applications to run on Electronic Health Record (EHR) systems • Integrated Insights on Patient Data (IPD) Watson APIs with SMART app to generate and visualize data insights on Longitudinal Patient Records (LPR)

o Developed algorithms and generated reports from the raw data to drive Business Intelligence.o Maintained Sharepoint Site and dashboard to aggregate the results at one place and help team collaborate effectively.

SA WAREHOUSE CONNECTOR (WC)o Enabled Big-Data analytics in SA using Hadoop HDFS and Hive integration with WC component of SAo Completed Proof of Concept (POC) for generating Lucene indices on log data collected by network devices to perform free text search on data present in WC Hadoop repository SA NETWORK DEFENSEo Worked on R&D project SAND (Security Analysis Network Defense) that allows user to take pre-emptive steps for protecting its network against threatso Implemented Java Spring based MVC framework for seamlessly interacting with third-party NAC products like Forescout and Bradford Networks from SAo Developed UI for SAND in SA using ExtJS to facilitate real-time rendering of dynamic data produced by NAC toolSECURITY ANALYTICS (SA) UI DEVELOPMENTo Designed and developed UI for Warehouse Connector in SA using ExtJS and Java Spring MVC architectureo Was part of Four successful releases of SA over a time period of two years RSA ENVISION IMAGING LABo Developed hardware images for Envision, one of the premier product of RSA, for two releases that were received well by customers o Spearheaded image lab set up for Envision in Bedford, US the headquarter of RSAo Performed knowledge transfer for Bedford team and held trainings to familiarize CE and Sales team with new feature

• Completed the POC for migrating Envision to new platform (Windows Server 2008)
• POC was later adopted at the production level and depicted as the pivotal feature in coming releases• Successfully performed In-Place upgrade of OS platform for Envision keeping all user configurations intact

WEB-BASED OCCURRENCE REPORT RECORDING SYSTEM• Contributed to Database Administration team by setting up secure data transactions channel 
• Implemented Occurrence Report Recording System to record attendance of security personnel in the campus at a given time • Developed Web Based User Interface for the application