Delivered Data abd AI solutions enabling clients to outpace competitors. Headed strategic generative AI research, leading efforts to implement innovative solutions in the areas of NLG, NLP, and Computer Vision.• Spearheaded MLOps pipeline efforts with explainability and model-card tooling for transparent ML/AImodel operation (AWS, DataBricks, Spark, Sagemaker).• Led strategic vision for data and AI at a healthcare client, including architectural and next generation datatopology vision through data led organizational transformation, and data science enablement at scale.• Delivered customer cohort analytics at a large telecommunication client: translated business problemsinto analytical and modeling problems. Led multiple Data Science and Machine Learning workstreams andsuccessfully delivered optimized customer migration roadmap.

Sonatype is the leader in developer-friendly, full-spectrum software supply chain management providing organizations total control of their cloud-native development lifecycles, including third-party open-source code, first-party source code, infrastructure as code, and containerized code. The company supports 70% of the Fortune 100 and its commercial and open source tools are trusted by 15 million developers around the world. With a vision to transform the way the world innovates, Sonatype helps organizations of all sizes build higher quality software that's more aligned with business needs, more maintainable, and more secure. My role within Sonatype revolved around incubation of moonshot ideas related to Open Source Software ecosystem insights, OSS release integrity, OSS artifact identification, and prediction models based on behavioral analytics of OSS Consumers.

- Led the effort to develop proprietary algorithms for disruptive solutions for knowledge discovery and targeted delivery.- Implemented strict test driven development strategies in an Agile environment.- Designed and participated in hands on implementation of an intelligent knowledge automation platform.- Designed innovative solutions to automate knowledge discovery by using Machine Learning techniques.- Implemented SolR plugins to facilitate search across structured and unstructured document corpora.- Worked with core Lucene API in an attempt to augment Machine Learning algorithm and Natural Language Processing with high volume dataset.- Participated in the design and implementation of the core search and discovery architecture.- Participated in large-scale enterprise architecture for metadata extraction and classification platform using state of the art cluster computing technologies.- Spearheaded the architectural framework for a domain specific search engine involving searchable metadata and content across structured and unstructured sources.- Day to day activities included hands on coding.

- Managed a core Java Software Engineering team to design and implement well-integrated products- Develop creative solutions and write technical design & architecture documents- Develop end-to-end product solution on the J2EE platform with Oracle Backend- Cross-train developers on product features that are implemented - Perform hands-on software design and development in Java/J2EE/Oracle and DB2 technology stack- Establish architectural standards and best practices- Work closely with upper management to determine feasibility of product features- Establish standards and Perform peer code reviews and provide feedback

• Designed and Implemented CaseCentral eDiscovery and Review platform that provides hosted eDiscovery solutions (SaaS) to Fortune 1000 companies and their Law Firms for litigation, compliance and regulatory response. drop• Designed and Implemented Component based, multi-tenant architecture of this application utilizes JBoss Server J2EE stack (EJB, MDB, JMS, Queue/Topics, clustering with JBoss Cache, WebServices) and Oracle to deliver scalability and reliability with massive parallel processing.• Spearheaded CaseCentral eDiscovery Search Engine implementation and integration• Designed and Implemented Conceptual Clusters Faceted Navigation of the CaseCentral Search Platform • Analyzed, designed and implemented a co-existing architecture of highly volatile Structured and Unstructured data with FullText retrieval and indexing capability.• Implemented faceted search navigation using Vivisimo Velocity . • Part of a small agile development team that designed a cutting edge cloud-based eDiscovery software that successfully competes with other companies with larger organizations and bigger budgets in the eDiscovery space• Implemented a proprietary query language for the eDiscovery Search Platform • Led the Engineering effort to design next generation CaseCentral eDiscovery platform.• Design and Implemented Application Programming Interfaces and Web Services end points for the business layer objects in order for seamless integration with other service providers.• Experienced in leading engineering projects with local and offshore engineering teams.