Strategic Advisory: Transformed underperforming territories into spectacular ones. Delivered presentations and demonstrations, aligned business priorities to cloud technology while working with customer executives & business stakeholders on Data and AI/ML strategy. Leadership: Set goals and drove product roadmap for growth. Mobilized and led resources from customers, partners, internal sales, engineering and product teams. Led project planning execution to ensure success. Hands-on customer training for Machine Learning and Data Engineering. Published papers and blogs on Machine Learning and AI solutions.Highlights: Led cross-functional teams and delivered the following projects successfully.- Prototyped, developed, tested, deployed sophisticated AI apps.- Designed RAG (Retrieval Augmented Generation) architecture for grounding with integration to Enterprise data platform for use case specific information as well as data access authorization.- Integrated answer and content from enterprise search to LLM models for better response, with native language to LLM model to get context from structured and unstructured data such as document, CSV or relational database to ensure quality, accuracy and relevance of Generative AI solutions. - Designed GPT like experience for internal users to tap additional company data without retraining. with chain of thought prompting and action plan generation.- Data Governance and ETL platform to manage data catalog, meta data, lineage, quality, security policies, privacies, and data sharing with AWS, GCP, Databricks, Spark and Snowflake.- Large scale Data Mesh & ML projects. Empowered customer organization with agility and autonomy by creating data as a product & self-service ML platform to take advantage of changing market trend. Designed strategy for on-premises Hadoop migration, Databricks for ETL/ML and federated governance model.

- ML demand forecasting - Designed ML platform for data ingestion, validation, merge, mapping, harmonization, and Machine Learning for demand forecast, integrated with SAP and Salesforce.- Real-time ML for remote monitoring & operation optimization, operation optimization, predict maintenance supported by Machine Learning - Designed and deployed IoT streaming data platform with Kafka and Databricks Structured Streaming.- Dramatically improved ML financial forecasting accuracy and productivities. Led budget forecasting Machine Learning project with Python and R to support tens of billions of budgets. - ML with Knowledge Graph to find deeper relationship for life science with petabyte size data and hundreds of billions of data entities.

Chief Group Product Manager, Real Time Analytics Tech Business Line, product owner of Halliburton’s Common Data and Analytics Framework. Built Search, analytics, AI/ML powered enterprise software on Kafka, Cassandra and MongoDB.Strategy and Product Management: Drove company’s data and analytics software product portfolio strategy. Guided products from conception to launch by aligning technical solution with top business impact while breaking down complex problems into phased releases and iterations. Translated commercial and business needs into technical solutions. Experienced building technical software and bringing them to market.Led Customer Advisory Board to shape product roadmap by collecting, analyzing & anticipating market problem, customer needs and competitive landscape. Went beyond standard research to predict market trend and future opportunities. Formulated technology assessment as well as buy, build or partner decision. Spearheaded special evaluation projects for successfully acquisitions of other companies and Intellect Properties. With the creation of new data products, helped customer to improve productivity and reduce operation cost & NPT (Non-Production Time). Managed Landmark's Drillworks solution that won HART’S MEA in the category of intelligent System, and Pressworks, a World Oil Best Data Management Solution Award finalist. Program Management: Created a series of new data analytic software to support near real-time analytics & decision making. Led efforts to gain actionable insight from structured and unstructured data. Grew IoT software revenue by 75% in 2 years. Delivered 7 major releases of analytics solution in 4 years, all on time and under budget in a hyper-growth environment while collaborating cross-functionally.

Technical Leadership: Moderated Landmark CEO’s weekly SLT meeting with executives from product, consulting and customer support for strategic business planning. Led cross-functional teams up to 60 members and partnered closely with 3rd parties such as Teradata, Greenplum, ESRI on the next generation of data warehousing and analytics solutions. Represented company in industry data standard efforts at PPDM and Energetics committees. Championed big data technologies and Predictive Analytics in the industry. Led pre-sales technical assessments and after-sales site deployment projects for customer acquisition, success and retention. Met customer executives for feedback and trained users all over the world including ExxonMobil, Chevron, BP, ConocoPhillips, Equinor, Eni, Total, Pluspetrol, Pemex, Petrobras, etc.Architecture: Lead Architect for Halliburton’s Common Data and Analytics Framework. Created technical reference architecture and solution building block document. Managed and delivered Zeta Analytics and DecisionSpace Drilling Analytics projects, which produced industry’s first commercial Big Data Solution. Managed and delivered Real-time Analytics commercial solution which provided monitoring, alerting, complex even processing (CEP), machine learning and decision support.