1. Over the past two years at WealthCounsel, I've had the incredible opportunity to work on an innovative project: developing a content support portal powered by generative AI. This project has been both challenging and rewarding, providing deep insights into the practical applications of advanced AI technologies. Our portal leverages a serverless RAG (Retrieval Augmented Generation) architecture, making extensive use of AWS services. Specifically, we employ AWS Lambda and AWS API Gateway for seamless and scalable processing. The core of our solution is built around AWS Bedrock, complemented by an OpenSearch Serverless vector database to ensure efficient data retrieval and management. We store and manage content using AWS S3, ensuring reliability and scalability. we used the Anthropic Claude 3.5 Sonnet as our LLM. we were able to generate accurate and contextually relevant content using RAG.I’ve had the opportunity to experiment with several AWS services and open-source technologies. This hands-on experience with both proprietary and open-source tools has been invaluable. 2. Architected Wealth Management Charting and Diagram Generation tool using AWS bedrock and Prompt flows. Developed an advanced wealth management charting solution leveraging AWS Bedrock for AI-driven insights, with API Gateway and DynamoDB for URL and chart data storage. Created and deployed visually intuitive wealth management charts and diagrams, facilitating enhanced data visualization and user engagement within the wealth management sector.Overall, my time at WealthCounsel has been marked by continuous learning and innovation. Being at the forefront of integrating generative AI into practical applications has not only honed my technical skills but also deepened my appreciation for the transformative power of AI in solving real-world problems.

I Have been working on a product which utilizes IBM Watson Studio for developing Machine Learning and Custom Visual Recognition models. These models are being used to analyze and classify various industrial problems related to machines and engines. Some of these models are being applied for Wind Turbine Analysis, Rail Road Track analysis, Pharmacies , Healthcare etc.

I have been consulting with one of the top 10 Health Insurance & Pharmaceutical company for the past six years.As part of this engagement, I am working as a Architect / Developer on Marklogic Data Hub Implementation. Some of the primary tools & Technologies of my daily use are Marklogic, XQuery, JSON, XML, MLCP, REST API's .

Developing the SnapOn Product "Suretrack" which uses NoSQL Marklogic Database server. Uses REST ful web services which allow to interact with Marklogic Database.

Working as a Search Portal and Content Mangement Architected solutions for Various clients ...1. McGraw-Hill Education - New York.At McGraw Hill Education we designed and developed an entirely new publishing system that spans the entire lifecycle of acquiring, editing, and producing educational textbooks and other materials using Marklogic 5.0. The new system uses MarkLogic Server as a core repository and technology for the system. I was one of the lead back-end architects on the project and focused on developing sophisticated metadata management capabilities to tag content for compliance to Federal and State educational standards. Made use of technologies like Xquery, Jquery, Schematron, DITA-OT, XSLT, XQRails.2. Library of CongressWas involved in a prototype development using intelligent spidering, researching Semantic web and Entity Extraction using Gate / Jape technology.3. Lexis NexisWas involved in consulting as a senior Marklogic Resource for implementing their History Vault using Marklogic XCC and Java based portal. Researched on advanced techniques of Auto Complete with Avalon Colleagues.4. XPlanaWas involved as a MarkLogic Professional Services team member working with XPlana to extend their web based learning tool using MarkLogic making use of MarkLogic library services API.