Selected Work

Problem

Product teams waste hours transforming messy meeting notes, feature ideas, and requirements into consistent, actionable user stories with acceptance criteria.

Solution

I designed and shipped an AI-powered platform that ingests unstructured input and outputs standardized, ready-to-use user stories. Including acceptance criteria, edge cases, and optional metadata, all aligned with Agile best practices.

My Role

Product concept, UX flows, AI prompt design, API integration, QA/testing, go-to-market strategy.

Impact

Problem

Most mindfulness apps expect users to actively seek out content, making it easy to forget or skip entirely. Few combine unpredictable Taoist insights with quick, evidence-based practices for an immediate state shift.

Solution

Enlighten delivers Tao Te Ching passages paired with neuroscience-backed micro-practices at beautifully timed moments. Features include a quote library with filters, favorites, customizable notifications, and minimal, distraction-free UX.

My Role

Product concept, UX design, user flows, high-level technical planning, user story creation, and roadmap development.

Impact (Projected)

Status

Launching soon on iOS App Store and Google Play Store.

Problem

T-Mobile's prepaid services for major retailers like Walmart, Costco, and Best Buy required complex API integrations for activations, number porting, and service extensions. Without streamlined processes, onboarding new customers or adding lines was slow, error-prone, and frustrating.

Solution

As Technical Product Owner, I managed the MAAD Lite prepaid API integration for national retailers, delivered Port-In capabilities for seamless number transfers, launched National Retailer Add-a-Line (AAL) functionality for existing customers, and improved cart, payment, and OTP retry performance for faster transactions.

My Role

Technical Product Owner managing API integrations, stakeholder coordination, performance optimization, and cross-team delivery for enterprise retail partnerships.

Impact

Problem

Most pomodoro apps are overloaded with customization, making them distracting to set up and easy to abandon. I wanted a timer so simple it fades into the background, yet reliable enough to track focus cycles without breaking flow.

Solution

PomodoroFlow delivers a distraction-free 25-minute focus / 5-minute break cycle with auto-progression, subtle chimes, and gentle haptic feedback. Sessions persist if the app is closed, and local notifications ensure you never miss a switch. Includes a "Fast Mode" for rapid QA and testing.

My Role

Product concept, UX design, feature scoping, implementation in Expo (React Native), local notification and audio integration, Git branching strategy, EAS build configuration.

Impact

Problem

Fixed wireless networks in remote and tactical contexts require precision planning, real-time health visibility, and the ability to deploy infrastructure quickly — even in humanitarian or emergency situations.

Solution

In dual roles as Product Owner and Business Analyst, I delivered Manager — a real-time network health monitoring platform with uptime alerts and performance analytics, Planner — an RF mapping and network planning tool for rapid, accurate deployment design, and Field Deployments — guided refugee camp mesh network setup and drone integration for public safety operations.

My Role

Product Owner and Business Analyst managing network monitoring platforms, RF planning tools, and field deployment coordination for mission-critical environments.

Impact

Problem

Military and tactical communication systems required complex manual setup processes that delayed critical operations and created security vulnerabilities in high-stakes environments.

Solution

WindTalker delivers automated secure communication deployment with instant frequency scanning, streamlined configuration workflows, and rapid onboarding protocols designed for mission-critical scenarios.

My Role

Product strategy, UX research with military personnel, secure system architecture, deployment automation design, and field testing coordination.

Problem

I generate tons of technical knowledge daily: architecture decisions, code patterns, debugging sessions, feature discussions. When that information lives across ChatGPT conversations, Git repos, note archives, and local files, finding specific details becomes a needle-in-haystack problem. What was that API approach I discussed three months ago? Why did I choose that architecture? What was the solution to that edge case? My brain remembers the concepts, but not all the specifics.

Solution

I built a privacy-first RAG (Retrieval-Augmented Generation) system that ingests, indexes, and semantically searches across all my personal data sources. ShainAI automatically watches my local files, ingests my Git repos on commit, parses my ChatGPT exports, and imports my note archives. It then answers my questions by retrieving relevant context with citations. The system even ingests its own conversations with me, creating a meta-memory loop where my second brain remembers thinking with itself.

What I Built

System architecture (RAG pipeline, vector embeddings, semantic search), full-stack development, AI orchestration and prompt engineering, auto-ingestion system design with real-time file watching and git hooks, UX/UI for conversational interface.

Impact

Problem

ConnectWise Manage serves thousands of IT professionals worldwide, but some workflows were outdated or inefficient — from mobile field operations to client communication and sales visibility. Users needed a faster, clearer, and more integrated experience across devices and departments.

Solution

As Product Owner for CRM, Service, and System modules, I delivered Mobile App Updates – improved ticket management, remote access, and workflows for technicians on the go, Ticket Notes Redesign – added rich text formatting, inline images, avatars, and issue tags to improve clarity and reduce resolution times, and ConnectWise Now CRM Dashboards – built real-time sales and quote visibility into customizable dashboards, integrating pipeline, forecasting, and compliance metrics.

My Role

Product Owner for CRM, Service, and System modules managing mobile UX improvements, communication redesigns, and data visualization enhancements for enterprise IT service providers.

Impact

Problem

Small businesses and agencies waste time manually reconciling payments, chasing overdue invoices, and tracking dunning communications. These tasks are repetitive, error-prone, and often lead to awkward client interactions.

Solution

Floatless automates payment reconciliation by integrating directly with Stripe and QuickBooks, generating polite, on-brand dunning messages, and tracking communication history. The platform also provides subscription metrics, ROI reporting, and payment health summaries, all in a minimalist, easy-to-use dashboard.

My Role

Product concept, UX design, data model architecture, API integration planning, workflow automation design, and go-to-market strategy.

Impact (Projected)

Status

MVP feature-complete; currently in closed beta testing.

Problem

Detecting near-duplicate regions in low-contrast scientific imagery is challenging. Repetitive textures and banding patterns create false positives, while competition constraints limit daily submissions and GPU time.

Approach

Built an encoder-decoder pipeline with self-correlation stage to surface copy-move candidates. Established deterministic cross-validation, per-epoch metrics tracking, and automated submission pipeline with RLE formatting. Prioritized generalization over leaderboard chasing.

My Role

Model design, training strategy, experiment operations, CV setup, logging infrastructure, submission pipeline automation, and post-processing optimization.

Current Outcomes

Next Steps

Enable test-time augmentation, run post-processing sweeps, train complementary model for ensemble, and publish full reproducibility kit post-competition.