• Identified the challenges and needs of AI/ML, data science, and business areas for students in the program. • Designed and developed case studies focusing on data science, AI/ML tech, and business intelligence. • Managed and Engaged students in hands-on learning experiences in data cleaning and imputing, variable analysis and selection, model structuring and computing efficiency, and business analytics and presentation.• Provide advice for the management team to hone the program

The mission of maka.AI is to promote computing literacy, empower the workforce of the next generation, and cultivate leaders for the future computing system by leveraging tech AI.As a visionary in AI-driven education and computing leadership, I have been sharing my knowledge and experience in Tech AI, data science, and business intelligence with young generations in K-12 and college settings. maka.AI consists of talents in product design, software development, and AI research with professional experience from Google, Amazon, Meta, McKinsey, etc.

About 15 years in project management, consulting, advisory, Non-profit organization development, Client relationship management, and strategic planning. As our team grows, we are looking for a few full time Education Specialist at various levels, a full stack Web/Mobile App developer, and an associate director for Science, Research, and Technology to join our team in the Washington DC metropolitan area.Veritas Tech: Data Driven | Digital Transformation | AI | ML As an affiliate of Veritas Education, Veritas Tech aims to use a data driven approach to digitally transform educational products using AI and ML.Veritas Education: Here at Veritas Education, we focus on educating the "whole" students, and are looking for someone who are passionate in education, especially in educating highly motivated students. Our organization is growing in the following areas:• Product wise, we are connecting with experts in the education field to design new products and services. • Geographically, we are expanding to NYC, Boston, San Francisco, Los Angeles, and Seattle. • We are also utilizing big data, machine learning, and AI technology to build computerized app to capture our existing products as well as designing new products.

I was focused on entrepreneurial sales, enterprise venture scaling up, AI/ML for businesses, leadership development in ambiguity, and creating a technology-driven startup.

• Managed transactions to issue more than 40 billion Mortgage Backed Securities (MBS) with complex structures.• Drove marketing, legal, bank, and accounting firm to execute issuances of securities. • Developed pricing strategy by analyzing and evaluating market conditions. • Designed new securitized structures by using big data and machine learning technology.

• Designed and developed quantitative models to analyze market risk and credit risk by using big data.• Conducted big data analysis by using various technologies and quantitative models. • Developed documentation for modeling, risk management, and compliance purpose. • Conducted model implementation by doing pre-post analysis.

• Managed and train junior analysts to conduct credit risk analyses for $1.8 trillion credit portfolio.• Evaluated financial costs by using complex quantitative models and data. • Analyzed key drivers of Profit/Loss for the investment of a portfolio of $800 billion.• Governed and measured the impact of model change on credit portfolio cost.• Worked with inside and outside risk management/audit partners to ensure risk controls.

Deal Management•Maintained risk management and managed effectiveness in securitization transactions.•Managed a team of analysts for modeling and generating various analytics for Agency/Non-Agency securities.•Coordinated all the disclosure changes among underwriters, issuers, and attorneys.•Delivered all products on time and establish positive relationship with clients.•Prepared the Agreed Upon Procedure (AUP) report for transaction closing process.Modeling Analyses•Developed models for Agency/Non-Agency securities’ cash flow and analytics in proprietary software.•Verified compliance of disclosure and the language in Prospectus Supplement for fixed income securities.•Performed bond payment verification and reporting requirement analysis (RegAB).•Conducted testing for various financial derivatives cash flow models.•Implemented collateral loan-level analyses for sub-prime securitization transactions. •Completed Excel modeling and Macro for transaction structure analysis.Securitization Related Financial Risk Analyses•Analyzed financial assets transfer structure for assets securitizations to meet QSPE requirements (FAS 140).•Evaluated and measured various derivatives contracts.•Oversaw a group of analysts in Variable Interest Entity (VIE) consolidation analyses (Fin46R).•Performed silo/Variable Interest to Specific Assets (VISA) analyses for VIE consolidation.•Assessed interest rate risk for ownership interests in securitization transactions.Sarbanes-Oxley 404 Review for Mortgage Business•Led and drove Sarbanes-Oxley compliance procedure for one business unit at a top financial institution.•Identified and investigated financial reporting related risks in business and operational process.•Assessed and provided solutions for identified risks and reviewed/documented the procedure.•Provided training workshop/presentation and handled meeting with client’s personnel up to VP level.