Eric Hsu Email & Phone Number

California, United States

Mclean, Va, Us

Card Tech Machine Learning

Mountain View, California, Us

Artificial Intelligence and Machine Learning - Intuit AI OrganizationAs the first AI/ML TPM hired, I led and grew the Intuit AI TPM team directing strategic planning and execution of ML driven features and services for 350+ data scientists/machine learning engineers across the QuickBooks, Mint, and TurboTax product lines.-Applications included 275+ machine learning models for computer vision, natural language processing, knowledge graph, time series, classification and regression tree use cases. -Led creation of Data Science/ML Engineering services to streamline the model development life cycle including assets such as data labeling/annotation services, AI training/mentorship programs, and model asset cataloging tool sets.

Mountain View, California, Us

Mountain View, California, Us

Oakland, California, Us

Growth and Engagement Org-Explored the marketing technology space and the application of machine learning to target member growth and user engagement for a top fintech brand.-Managed development of app experience personalization and marketing content/channel targeting including the implementation of random forest and XGBoost machine learning methodologies.

San Francisco, Ca, Us

-Led evangelism of agile methodologies as general manager of the Enterprise Agility Support Office operating in the Office of the CIO.-Designed the strategic roadmap and built/scaled/managed in-house agile coaching office from ground-up; leading the team supporting agile adoption through coaching engagements, trainings, and devops infrastructure services.-Led introduction of industry best practices and thought leadership to the Federal Reserve by creating partnerships with agile leaders in industry.-Facilitated cross-communication and knowledge sharing of agile best practices across the 12 district banks and Board of Governors.-Hosted and led the creation\execution of the lauded annual Federal Reserve System Agile Conferences (Fed Agile) in 2014 and 2015, organizing more than 15 talks by industry leaders over two days. The event rallies over 150 participants annually representing all 12 Federal Reserve Banks and the Board of Governors.

New York, Ny, Us

-Led multi-year data product strategies and machine learning programs to successful on-time and in-scope releases generating $200M+ in recurring annual revenue.-Created high-performing global cross-functional engineering teams of 450+ resources by implementing and executing agile development methodologies (scrum/xp/kanban, strategic roadmap/release planning, retrospectives).-Enabled program transparency for the COO and executive management through multiple layered communication channels.-Led strategic portfolio management by designing and executing tools enabling portfolio planning and real-time program status views for executive management.Product Programs led:CreditEdge - Public Firm EDF™ Credit Risk Model and ApplicationRiskConfidence - Interest Rate Risk Management PlatformRiskFrontier - Portfolio Risk Management SolutionRiskcalc/LossCalc - Private Firm EDF™ Credit Risk Models/Loss Given Default ModelRiskAnalyst - Enterprise Credit Risk Management PlatformCommercial Mortgage Metrics - Commercial Real Estate Risk ApplicationData Refinery - Data Management/Enrichment Infrastructure

Us

-Built/Trained/Managed global team for machine learning operations to train financial and Expected Default Frequency (EDF™) credit model data consumed in all Moody's KMV risk model applications. (generating $150M+ in recurring annual revenue)-Streamlined data pipeline processes through systems analysis and automation of legacy systems to scale data management capabilities.-Collaborated with research teams to productionize machine learning models for use in predictive analytics applications. Led design team for EDF™ credit model v8.0, Riskcalc v3.1, and LossCalc data management processes. -Provided third/top tier client data/analytical model support and managed production of custom analytics datasets.

New York, Ny, Us

-Managed production of core research/machine learning data sets for global bond analytics products.-Collaborated with multifunctional teams to implement new vendor financial/economic data feeds into product. -Performed exhaustive data curation and quality assurance checks of data content and deliverables.-Analyzed daily and monthly estimation of term structures, swap curves, and corporate spreads for quantitative finance toolsets.Morgan Stanley Capital International

Ms, Data Science

Ms, Management And Systems

Msc, Public Policy And Management

Ma, Economics

Ba, Economics, Minor In Business Administration

International Relations

Complexity Science

Phd, Systems Engineering