While working as the ID Fraud & Compliance Chief Solutions Architect at Equifax, I have been working across multiple teams to enable few of the efforts listed below1. Identity Fraud Detection/Prevention Architecture 2. Anti Money Laundering Architecture using Machine Learning Algorithms3. Google Cloud Application and Data Migration Architecture4. Data Fabric Architecture5. Identity Foundry Architecture6. Data Compliance, Classification, and Governance Initiatives7. Application and Data Secured practices on Google Cloud8. CI/CD practicesEnvironment: GCP Services - Dataflow (Apache Beam), Google Kubernetes Engine, BigTable, BigQuery, Stateful Streaming, PubSub, Composer, etc.Machine Learning - Semantic Searching, Embeddings, Vector Database, GenAIAWS Services - EMR, SNS, EKS, etc.Languages/Frameworks: Java, Go, Python, SpringBoots

While working as an architect at Macy's, I got an opportunity to solve many challenging problems. Few of them are listed below1. Architecting and developing few components of an enterprise wide platform to facilitate connection, communication, and action execution between two or more systems (applications, conveyor belts, etc.) . 2. Architecting, prototyping, and developing few complex components of a in-house picking-packing warehouse solution.3. Architecting enterprise wide framework and products for core building blocks like Item Detail, Entity Attributes, Inventory Management, Location Management, Location Sequencing, Application Auditing, Inbound Delivery Management, Work Execution Management3. Part of various optimization initiatives for Order, Wave, Shipping, Picking optimizations4. Architecting and developing labor efficiency management solution using the statistical and machine learning algorithms. Designed end to end data movement, consumption, transformation, synthesis, learning and decision making. Data architecture and ML application architectureEnvironment: Spark (SQL, ML, Streaming, PySpark), Python, Hadoop (HDFS, Hive, YARN, Sqoop), Apache Storm, Java 8, REST, EJB 3, SpringBoots, Aspect Oriented Programming, Oracle 12c, JSON, Hibernate, JBoss EAP 6.4, MicroService Architecture, TIBCO BW, TIBCO EMS, TIBCO CLE, Java 7, REST, Grails, jQuery, XML, EJB 3, UML, REST and SOAP, Groovy/Grails Tool Suite (GGTS)

While working as a Architect for a major US retail client, I took responsibility of the following1. Prototyping and developing the mobile solutions for company's warehouses to recommend best available technologies and devices, as per project requirements.2. Manhattan WMS customization as per client's needsEnvironment: Manhattan WMS, JSF, Spring, EJB, Hibernate, JMS, WebServices, Grails/Groovy, jQuery, Worklight, RhoMobile, Ruby on Rails, Java, DOJO, jQuery, SQLite

While working for a major Insurance client, I played various roles as a developer and an architect for a few of the applications listed below. 1. Design and develop application to migrate data from existing legacy data from insurance agent computers to central database2. Consult and solution tools and technologies to be used for the application to be used by call center executives3. Develop initial framework and many reusable classes/modules that can be used by the project4. Prototyping and researching various tools and technologies that can be used by the enterprise based on common use-cases. Environment: Java (JDK 6), Spring Portlet MVC, WebServices, JSP (and JSTL), RSA 8, DOJO (with MVC), Dozer, JSR 286, WebSphere Portal Server 7, Checkstyle, AJAX, DYNACACHE, Rational Unified Process (RUP), Spring, iBatis, Oracle 10g, Sybase, iNet-Frameworks

Developer and Team Lead for a major Telecommunications client in Delhi, India. Designed and developed various web based applications to help track productivity, to manage IP allocations, and other business applications. Environment: J2EE, Struts, EJB, Java, UML, Rational Unified processes, JSP Servlets, XML, DB2

Customizations and development on Teamcenter Enterprise, a (PLM) software for 2 major manufacturing clients in Delhi, India. Environment: J2EE, Java, Teamcenter Enterprise