• Utilized Power BI and SQL to determine renewal, concession, and retrade success rates to optimize profit margins of Single-Family Home Rentals.• Using the Case-Schiller Home Price Index, and Redfin’s Housing Market Data API, designed a Long Short-Term Memory (LSTM) Model to map Home Price Appreciation (HPA) residuals over time, visualizing future downwards momentum.

• Managed multiple data infrastructure (Cloud and on-premise) and software stacks (Python/Java/C#, SQL, Angular, PyTorch/SciPy) to support consulting services. • Led data service development and system integration for multiple projects: e.g., dataflow automation (NASA), front-end project (Piedmont Plastics), bioinformatic data system integration (NIH)

Worked as a full-stack developer to build applications for Capital Markets trading. • Developed and migrated front-end and back-end interfaces (full-stack with Angular TypeScript/HTML/CSS and C#) to generate, manipulate, and retrieval data (HTTP/REST) within Wells Fargo Foreign Exchange (FX).• Familiar with basic principles of quantitative finance, especially forex trading and interest rate derivatives. • Created a suite of Unit Tests in Angular TypeScript and C# for FX code modernization with multiple data source connections to Oracle and Microsoft SQL Databases. Improved total coverage by over 15%.• Mastered full cycle of code development: version control (Git), unit test, regression test (Jenkins), validation (SonarLint) and production code deployment (Urban Code Deploy).• Created AI code agents (LangChain/OpenAI) to facilitate autonomous code development and testing.• Enhanced a WF-ruleset similarity search tool with Spotify/Annoy (Approximate-Nearest-Neighbors).

• Pitched a tech-based stock to Stanford Blyth Fund for long-term investment.• Learned the basic fundamentals of investing, risk management, and methods of research to effectively maximize the six-figure investment endowment provided by Stanford.

(Two Summer Internships) Developed an HTML and CSS-based Analytics Insights page with Google Charts plugins for Wells Fargo Foreign Exchange to visualize daily/weekly currency settlements using data from multiple databases; hosted webpage on an IIS Server.Developed a chatbot UI on Microsoft Azure to take in specified responses from an Excel spreadsheet to provide an easy-to-navigate overview for the Wells Fargo Foreign Exchange Department.

Developed model-free and physics-constraint machine learning (ML) methods (C++/Pytorch) to simulate Cloth in virtual mirrors on an eCommerce platform (JD.com). (with Professor Fedkiw’s group)

Designed coloring algorithms (Matlab/Java) to visualize and compare 3D vectors within an open source system: WormGUIDES.