What I Build
Whether it's enterprise software or personal tools, my approach is consistent: identify a real problem, think through the solution strategically, and ship something that works. Here are examples of that thinking in action.
Qupi
Voice-enabled progressive web app for capturing health events in real-time
The Problem
When dealing with family health issues, critical context gets lost between symptoms and doctor visits. Traditional health tracking apps are too cumbersome to use in the moment. Doctors need timeline data we can never remember accurately.
My Approach
Built mobile-first PWA optimized for speed and convenience. Integrated iOS Siri Shortcuts for voice logging—capture symptoms without opening the app. Designed custom category system and timeline visualization to surface patterns doctors actually need.
What I Built
Progressive web app with voice integration, custom symptom categorization, timeline visualization, and cross-device sync. Installable on any platform, works offline, privacy-first architecture with local-first data storage.
Impact
- Active personal use for family health management
- Voice logging reduces friction to near-zero
- Timeline view helps identify patterns and triggers
- Real utility in actual doctor consultations
AWS Reserved Instance Optimizer
Automated application to optimize AWS Reserved Instance marketplace decisions
The Problem
Managing thousands of AWS Reserved Instances with millions in annual spend required manually correlating inventory data, utilization metrics, and marketplace listings across multiple AWS tools. Finance needed better visibility; operations needed faster decision-making.
My Approach
Built custom application integrating AWS APIs to unify fragmented data streams. Automated analysis to surface optimization opportunities. Designed workflow to fit existing FinOps processes while reducing analysis time from days to minutes.
What I Built
Python application with real-time AWS integration, automated utilization analysis, marketplace listing recommendations, and cost projection modeling. Deployed enterprise-wide with automated reporting.
Impact
- Recovered hundreds of thousands in annual RI costs
- Reduced analysis time from days to minutes
- Enabled data-driven optimization decisions
- Scaled across 200+ customer accounts
S3 Inventory Analyzer
Petabyte-scale data analysis tool for cloud storage optimization
The Problem
2+ petabytes of bioinformatics data across 200 customers with no clear visibility into storage patterns, largest cost drivers, or optimization opportunities. Traditional tools couldn't handle the scale or provide actionable insights.
My Approach
Designed analysis tool with directory-depth exploration to surface largest tissue samples and identify patterns. Built automated cost attribution system to tie storage directly to customer accounts—revealing path to consumption-based billing model.
What I Built
Python application processing S3 inventory manifests at petabyte scale. Interactive exploration of storage hierarchies, automated cost calculations, customer attribution logic, and recommendation engine for optimization opportunities.
Impact
- Analyzed 2 PB of production data
- Reduced storage costs by 30%
- Identified millions in potential annual savings
- Enabled shift to consumption-based pricing model