Welcome to My Project Library

Host-to-Host Connectivity · Chicago, IL

Technical Product Management role focused on expanding payment-processing capabilities by defining technical mapping specifications, automating test-payload generation, and developing client demos and developer documentation.

• Supported expansion of processing capabilities by developing mapping specs, technical documentation, and test assets
• Developed a browser-based utility tool that automated bulk test payload generation for more scalable end-to-end testing
• Commercialized digital products by leading development of client-facing demos and defining their presentation on a public site
• Drafted client-facing developer portal documentation explaining product value, capabilities, and usage
• Created management presentations, product roadmap materials, and strategy decks to support stakeholder alignment

Escrow Services · New York, NY

Supported institutional escrow product development by coordinating product delivery and analyzing M&A transaction data to identify growth opportunities. Managed a team of developers to deliver enhancements to proprietary client-facing and deal-management platforms.

• Supported the development of J.P. Morgan’s institutional escrow product to deliver risk mitigation for M&A and DCM transactions
• Conducted quantitative research on recent M&A deals to support sales forecasting and identify strategic growth areas
• Managed a team of developers to implement enhancements to proprietary client portal and deal-management software
• Developed scripts using Groovy and Gherkin to automate regression testing and ensure software update reliability
• Wrote extensive user stories in JIRA and delivered instructive presentations to guide the development of software improvements
• Collaborated with internal sales teams to negotiate deal terms and promote product capabilities to essential stakeholders

Semiconductor Business Unit · Chicago, IL

Built financial forecasting and valuation models to support strategic planning, post-acquisition integration, and executive decision-making. Consolidated operational and financial data across business functions and international plants to assess performance trends and inform long-term business outlooks.

• Analyzed trends in manufacturing, sales, finance, and general business conditions to create quarterly forecasts
• Built 10-year strategic planning models and updated P&L forecasts for post-acquisition integration
• Collaborated with international plant managers to consolidate and analyze financial data for presentation to upper management
• Developed a discounted cash flow deal model in Excel to determine a business unit’s valuation

NYU Stern — Dept. of Technology, Operations & Statistics

Developed LLM evaluation workflows using fine-tuned language models, Python-based data processing, and benchmark comparisons across conversational agents. Analyzed alignment between automated model assessments and human survey results to improve evaluation accuracy and inform training of stronger conversational models.

• Deployed fine-tuned language models to evaluate the capabilities of various conversational agents (ChatGPT, Gemini, etc.)
• Developed Python scripts to clean raw dialogue data and process it through state-of-the-art evaluation models
• Analyzed correlation between model outputs and human surveys to determine which evaluation methods were most accurate

Independent Research Project · NYU Stern

Developed and evaluated a Python-based trading system using time series forecasting and machine learning techniques to optimize predictive performance across multiple security types. Deployed a Flask and PostgreSQL web application to track real-time strategy performance and documented the model thesis, methodology, and results in an academic paper.

• Conducted quantitative market research to develop and validate a trading strategy thesis using historical price data
• Developed a Python-based web application to process live data, simulate trades, and analyze strategy performance in real time
• Utilized time series forecasting and machine learning techniques to fit model parameters and optimize system performance
• Documented the model development process and wrote an academic paper on the strategy thesis, methods used, and results