Goal-oriented leader highly capable of scaling revenue while maintaining an industry-leading product vision over the long term with the capacity to work at
multiple levels across the organization, helping craft a unified vision and exceptional cross-org execution. Competent in maintaining excellent communication with other executives, customers, partners, and suppliers. Demonstrates hands-on expertise in engineering strategy and collaboration with all stakeholders to ensure innovation at every step. Able to lead the team to personal growth, operational excellence, and performance improvement as they build the leading AI and data platform. Collaborates closely with the product management team to refine, enhance, and deliver on product roadmap. Contributes to software architecture discussions and key decisions. Develops short-term resource planning to implement the product roadmap eying on long-term vision for excellence in engineering, delivery, and efficiency.

As part of my research work in the Ph.D. program, published ad academic conference papers on an innovative flexible parallel run-time execution model on simultaneously multithreading platform for numerical scientific applications. The run time model lies between application and OS layers. Use a programming analysis methodology to optimize the performance of the applications. Using profiling based speculative prefetching technique to maximize the best performance for scientific applications.

William & Mary

Built a user level Distributed Shared Memory library, DSMLib, through Java Objects. The distributed shared memory (DSM) system supports the strict consistency model and sequential consistency model.

The George Washington University

• Pioneering the planning, development, and delivery of an innovative, value-added AIML platform, including crafting the strategy and mission of the product to facilitate launch and drive long-term success.
• Defining generative AI strategy including Gen-AI governance and model life cycle management.
• Leading the technology innovation to enable models to be enabled by Generative AI.
• Monitoring machine learning and AI advancements to capitalize on current and emerging opportunities, driving value for the organization through innovative and cutting-edge technologies.
• Employing in-depth knowledge of AI solutions to integrate generative AI into the application development process.
• Charting the successful development and maintenance of a robust catalog of ML libraries and frameworks.
• Leveraging open-source tools to build a fully open-source machine learning platform at a scale that serves a huge number of models across Visa.
• Providing dynamic, high-quality leadership to a large sized team to ensure on-time and seamless project completion.
• Exhibiting in-depth experience with project management methodologies.
• Driving continuous improvement by identifying process inefficiencies and implementing streamlined solutions.
  
Key Achievements:
  
\- Established an automated model deployment process that successfully reduced time-to-market for machine learning models from months to weeks, directly contributing to improved organizational efficiency.
\- Supported millions of dollars of annual revenues by scaling up the platform utilizing machine learning models.
\- Defined AI Governance strategy powered by GenAI to convert technology to profit.

SENIOR DIRECTOR, AI AND MACHINE LEARNING

𝐈𝐁𝐌 𝐍𝐞𝐱𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧, 2020
• Spearheaded, designed, and developed next-generation Data Lake solution for IBM Hybrid Cloud.
• Liaised with the executive management team to define the overall product strategy for Data Lake enterprise, a strategic priority and key initiative for the IBM organization.
  
𝐈𝐁𝐌 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞 (𝐃𝐚𝐭𝐚𝐒𝐭𝐚𝐠𝐞), 𝐈𝐁𝐌 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐫𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭, 2018 𝐭𝐨 2020
• Managed development teams across multiple product lines centered around IBM Data Engine, also known as the IBM Information Server product, part of a million dollars’ business.
• Maintained responsibility for the modernization and conversion of a 20-year-old legacy data engine to a container-based engine on the IBM Hybrid Cloud data platform, including defining scope, benefits strategy, and revenue outcomes.
• Supervised product strategy, architectural roadmap, project management, and product releases.
• Accountable for shipping three major releases each year, in addition to monthly minor releases.
• Augmented performance of development team by leading and mentoring engineers and managers.
  
𝐈𝐁𝐌 𝐎𝐩𝐞𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐨𝐟 𝐇𝐚𝐝𝐨𝐨𝐩 𝐚𝐧𝐝 𝐒𝐩𝐚𝐫𝐤 (𝐈𝐎𝐏), 𝐈𝐁𝐌 𝐁𝐢𝐠𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐏𝐫𝐨𝐝𝐮𝐜𝐭, 2014 𝐭𝐨 2018
• Administered product delivery schedules, specification reviews, planning, budgeting, and resource allocation.
• Functioned as IBM representative in ODPi (www.odpi.org), an open community under the Linux Foundation, to form standardizations for an Open Source ecosystem.
• Championed the development team in contributing to Open Source projects, in addition to having mentored multiple developers from IBM to become Apache Open Source committers.

PROGRAM DIRECTOR

• Collaborating on the quorum which developed Hadoop to a large-scale Open Source project from infancy.
• Serving as one of the earliest contributors to Hadoop catalog manager, which evolved to become today’s Hive Metastore.

OPEN SOURCE APACHE HADOOP COMMITTER

• Guided a team of developers in both US and China in building a data platform with the ability to serve segmented audiences by feeding data into Yahoo’s advertising pipeline, which fully leveraged the entire Hadoop ecosystem.
• Played a key role in establishing the data platform as the primary analytics tool used by the Yahoo CEO office to analyze high-volume live events, such as presidential campaigns, the Super Bowl, and the World Cup.
• Designed HDFS Data Node storage to support Hadoop 2.0 release, a complete revamp from previous Hadoop releases.
• Fulfilled the design and maintenance of the Yahoo in-house Data Warehouse solution (AWACS) before Hadoop, which managed multiple petabytes of data activity daily.
• Helped lead the design and implementation of a user personalization service (UPS) within Yahoo's data advertising pipeline to provide personalized data for advertisement serving.
  
𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
\- Reduced data storage by 30% and enhanced I/O performance by 10% by optimizing the storage layer of Yahoo’s foundation ETL pipeline for processing Yahoo and affiliate website data in the petabytes scale.
\- Developed the catalog manager for Hadoop, which became today’s Open Source Hive Metastore project.

TECHNICAL LEAD

Contributed heavily to the Microsoft Mediaroom product

SOFTWARE ENGINEER

Developed financial services software that processed non-exchange based trading operations for financial institutions on Wall Street and banks.

Tanping Wang

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