Hired to develop Data and Analytics Practice, laid the foundation to get D&A and GenAI Competency certification from AWS, and guided the team to deliver Complex Data and Analytics projects. ► Led the team and worked with AWS to launch as one of 17 global “Data Foundation for GenAI” partners - https://aws.amazon.com/blogs/apn/fuel-generative-ai-success-building-robust-data-foundation-with-aws-partners/https://www.linkedin.com/feed/update/urn:li:activity:7161450829684625410/► Established the Data Acceleration Partner Program (DAPP) as one of four global AWS partners to deliver DataLab, offering Data Strategy, Architecture, and technical leadership to clients, promoting Data as an asset through FAIR principles.► Led the first AWS Data Migration Acceleration Program (MAP) to modernize the data platform of a fintech customer evaluating technologies to select the appropriate stack for data governance, data processing, and advanced analytics.► Collaborated with leadership to define the vision, growth strategy, investment spending, hiring plan, employee development, resource utilization, and key success criteria for the Data & Analytics Practice.► Enhanced technology capabilities and thought leadership by developing a ready-to-deploy Infrastructure as Code (IaaC) Data & Analytics platform, as well as GenAI POCs in areas such as email generation, text summarization, chatbots, image generation, and publishing descriptive and predictive analytics blogs.► Increased sales by working with sales and marketing to provide pre-sales engineering and GTM support.► Oversaw the delivery of large-scale Data & Analytics projects, including end-to-end platform development for critical clients in fintech, healthcare, logistics, and startups.

Promoted to member of executive team and VP of Engineering to provide leadership and direction to Data Engineering, Data Science, and Operations teams to develop and deploy the first production Intelligence services utilizing AI and ML models. Serve as the primary technical decision maker, overseeing the agile development cycles►Built, inspired, and motivated a team of Data Engineers, Data Scientists, and Application Engineers to deliver on time and within a tight budget during the COVID challenging times ►Led architecture, tech stack selection, and development of Analytics Management Platform(AMP), configurable analytics platform to automate data processing (ingest, transform, and deliver to data lake) for predictive and descriptive analytics using AWS services►Onboarded a leading restaurant supplier and a leading automotive retailer’s and partners data for predictive and descriptive analytics►Provided architecture, technical and quality oversight for the in-house developed microservices based platform through which AI services(Marketing/Revenue Attribution, Best Customer, AI support services) were delivered►Served as technical point of contact to customers, with accountability for post-sales until customers reached the production stage, maintenance, and support of TIEX product and services►Enabled ingress and egress integration of disparate data sources including Adobe Experience Cloud, Adobe Analytics, Google Mybusiness, Facebook, Safegraph Mobility, Digital Campaigns and Audience Insights;setup the first working GRAPH based Identity and Customer Journey Graphs with 28M+ customers►Devised the data lake strategy and established a data lake with more than 7TB of data from different data sources; established data engineering pipeline to feed data for AI model development and operationalization.►Introduced practical use of efficient AI/ML operations utilizing cloud services across the organization►Delivered dashboards utilizing Tableau and Amazon Quick Sight

Enterprise Architect and technical liaison for teams in the US, Russia, and India to achieve artificial intelligence as a service with a bundle of solutions, talent, technology, and services, and deliver AI2 Intelligence System running deep learning neural networks on top of multiple plug-and-play AI algorithms.► Operationalized AI models for several solutions to forecast COVID business disruption, to figure out co-relation between US population health & Retailer’s data using 130M of deidentified patient data.► Initiated and designed Azure-based solution development by establishing foundational infrastructures using Azure services to enable migration from Google Cloud Platform (GCP) and Amazon Web Services (AWS).► Led the architecture, design, and development of solutions that involved data sourcing from disparate sources, navigating through 3 different clouds (AWS, Azure, and GCP), hardware sizing, software evaluation, and deployment.► Led development initiatives such as Tire Dashboard (for a leading Auto Service company using AWS Athena, Glue, S3, IAM, and Tableau) and NLP-based Retailer product classification based on consumer health and lifestyle preferences.► Established an offshore team, enabling remote support of AI ML/DL/NLP model development and maintenance.

Brought in to provide enterprise architecture technical leadership for transformation of transportation vertical from traditional to digital industrial vertical. Led a team of architects, product owners and scrum masters to meet KPIs and project deadlines and discuss progress on monthly meetings. Provide Agile technical coaching using Local Global Agile Implementation Model to to enable digital transformation processes► Managed all phases of enterprise architecture for Transport Vertical transformation; analyzed and streamlined technology strategy, led implementation approach, enabled real-time data collection and data synchronization among various systems, and provided architecture for multiple products using Spring Boot, Redis, RabbitMQ, PostgreSQL,Apache Kafka, Confluent, MQTT, Microservices, Docker, Sysdig, Industrial IoT, Predix, Ionic, Cordova, Angular, Swagger.► Strategized, and guided company transition to Industrial Internet using cloud (AWS, Cloud Foundry and Predix) and robust microservices architecture with 12-factor, SOLID, FIRST, GRASP, and DRY design principles► Collaborated with GE Transportation’s verticals at different stages of SAFe Agile adoption to provide appropriate, workable Agile team structure and detail sprint activities like incremental architecture, branching, merging, integrated system deployment, continuous integration, continuous build/system deployment/regression► Hired and built 4 agile scrum teams with 30+ members and played an instrumental role in securing/winning the first kind of full digital scrum projects for QuEST; contributed to RFP responses, customer negotiations, and delivering solutions► Mentored and trained team members on cloud architecture principles and best practices to prepare them for cloud certification; worked with QuEST management to build resource plans focused on expanding and improving Digital solution capabilities such as cloud, microservices, and big data technologies

Hand-picked to head large program deliveries architecture and ensure adoption of cutting-edge technologies for high-level design and solution initiatives, and alignment with CTO’s technology roadmap covering application, solution, deployment, system, infrastructure, integration, data architectures, and design. Led, mentored, and developed 10+ talented team members to meet project objectives. Published enterprise-wide standards, reference architecture, and plans► Led Agile Transformation for Nielsen's scrum team consisting of Product Owner, BA,Testers, Programmers, and Sr. Programmers and directed the team to deliver high-quality solutions within schedule (e.g. Nielsen’s first eCommerce solution to provide consumer eCommerce buying patterns)► As Integration & Design lead, drove architects to complete Loyalty Core Platform development for retailers’ information insight by integrating end-to-end modules of Nielsen’s flagship “Answers On Demand” product, led data strategy, standards, and governance. On-boarded international retail clients into the Data warehouse that included detailed infrastructure design for Hardware Sizing and High Availability► Led technology exploration and POCs involving Hadoop Big Data technologies using Cloudera CDH, Microstrategy, cloud(AWS and Azure), Microservices and Docker to align with Nielsen's Connected Buy System (one platform) for Data Lake. ► Partnered with Sales Engineering to architect, design, and deliver the first US Bridge Retailer solution using Hadoop related technologies, SCALA Spark, Sqoop, Hive, Java EE and Microstrategy, delivered through both digital web and mobile with delightful user experience► Established Dev Ops and continuous integration using single global build infrastructure using Maven and Sonar for Enterprise Buy Systems that created a sound base to migrate to Atlassian toolsets

Managed global team supporting Connectathon/HIMSS projects. Guided teams on healthcare standards and industry roadmaps. Member of Microsoft & GE integration work streams to harmonize engineering technology needs for the joint venture. "Design Patterns" course instructor for GE's well recognized "Edison Eng Pgm" and "S/W Tech Pgm" . Primary vendor contact for team's technology needs, involved in sourcing & contract negotiations. Maximized alignment of vendor's product roadmap with GE's multi-generational product development. Drove cutting edge technology POC and introduced Enterprise Service Bus (ESB), Service Oriented Architecture (SOA), Enterprise Integration Patterns (EIP) and fail first quality improvement through continuous integration. Provided tech leadership to pre-sales in defining tech solutions for client's needs, answering RFPs and preparing sales demos. ► Spearheaded technology exploration of cloud computing and introduced the practical use of cloud computing for the first time in GE's $1.5B Healthcare IT org, realizing 70% cost savings in hardware. ► Defined architecture strategy for eHealth P&L to introduce Hardware Sizing, High Availability, Clustering & Performance plan for first time resulting in developed products meeting non-functional requirements. ► Led large scale State Level Health Information Exchange (HIE) product deployment providing solution, deployment and implementation architecture with GE & non-GE products. ► Provided decisive leadership and direction to cross-functional/cross-vendor teams to determine IHE profiles; leading to successfully pass 7 international Connectathon testing events resulting in organically developed Health Information Exchange (HIE) Products. ► Assisted in securing sales leads by demonstrating GE eHealth products to customer C-level executives at international Healthcare Information Management Systems Society (HIMSS) conference.

► Implemented eBusiness solution and developed deployment architecture to address client's business problem and process/service improvement needs based on Service Oriented Architecture (SOA). ► Achieved successful completion and field implementation of a mission critical "City of Chicago" Revenue Department’s “Investigation Division” wireless mobile solution project which was more than one year behind schedule. ► Defined implementation strategy, developmental framework, technical coaching and mentoring plan for the team to implement Service Oriented Architecture (SOA) implementation for Tax, Investigation and License web portals for Chicago Revenue Department. Achieved 200% increased investigation, first-time on-line filing of tax, first-time on-line issuance, renewal, and validation of licenses.► Managed medium projects, including scheduling, preparing tasks, work allocation, preparing project plan, setting up goals, tracking the tasks, customer UAT, production implementation, authoring SOW and meeting SLA.► Conducted performance reviews for web team. ► Completed High-Level Design to implement custom web portals that resulted in reduced delivery delays of promotional items like toys for a leading fast-food restaurant chain(McDonalds).► Introduced framework based Java/J2EE development using Struts, JMeter,JUnit,Web Services, Java Swing, JSP, Servlet, Java Beans, Java Mail, XML, JAXB, JAX-RPC, Weblogic Workshop 8.1, Oracle 10g JBuilder, WSAD 5.1