I'm an MBA candidate and Computer Information Systems graduate with experience supporting enterprise customers at Amazon Web Services. My work sits at the intersection of cloud technology, customer success, data analytics, and process optimization—translating technical signals into clear decisions, better workflows, and stronger customer outcomes.

• ☁️ Supported enterprise customers across Amazon Connect and AWS Amplify, managing approximately 30 cases per month and coordinating high-severity escalations with engineering teams and Technical Account Managers.
• 📊 Build local-first analytics and decision-support applications with Python, SQL, SQLite, and PySide6.
• ⚙️ Use structured analysis and AI-assisted development to streamline recurring work, explain tradeoffs, and turn business requirements into practical tools.
• 🎯 Interested in customer success, technical account management, product management, and cloud-focused roles.

_{My koi, redrawn every night from my GitHub activity by git-koi.}

An offline MBA strategy simulator where you lead a fictional SaaS company through 12 quarters. A transparent rules engine connects price, marketing, product investment, hiring, and funding to growth, profitability, liquidity, valuation, and founder control, with seeded market events, board dilemmas, three board objectives, and an exportable PDF board report.

A Python, PySide6, and SQLite decision-support application that consolidates fictional SaaS adoption, support, engagement, sentiment, revenue, and renewal data into explainable health scores, 12-week health trends, multi-signal risk detection, ARR-at-risk and renewal analysis, Customer 360 profiles, and recommended next actions.

A local-first profit scenario analyzer that turns pricing, volume, cost, and marketing assumptions into financial KPIs, price-elasticity and sensitivity analysis, Monte Carlo risk estimates, a management assessment, and one-page PDF executive summaries.

A privacy-first PySide6 desktop app for macOS and Windows that indexes local photos and videos with SQLite, resurfaces memories by calendar date, and offers a full-window viewer, a searchable video library, and library insights without cloud uploads.

A fast, private PySide6 and SQLite desktop library for the photos and videos in your folders. It stays smooth at 50,000+ items, with month-grouped browsing, Live Photo support, automatic updates when files change, and library insights, all without cloud uploads.

My recent public work emphasizes:

• Explainable analytics: transparent health scoring, financial modeling, sensitivity analysis, and risk classification.
• Local-first product design: desktop tools that keep customer, business, and media data on the user's device.
• Business and technical alignment: applications that connect software engineering with customer success, finance, operations, and strategy.
• Iterative delivery: active refinement of documentation, usability, testing, licensing, and portfolio presentation across projects.

Thanks for visiting. Explore the projects above or connect with me to discuss cloud, customer success, analytics, and product ideas.