Engineering resilient digital ecosystems across fintech, climate, healthcare, AI, and infrastructure.

Healthearth is a systems-first engineering portfolio focused on building scalable, data-generating, forecast-driven platforms.

The philosophy:

• Heal the Earth
• Heal the Art (of engineering)
• Health + Wealth + Infrastructure
• Sustainable software ecosystems

Every pinned repository is part of an interconnected digital city — a metropolis skyline of platforms, not isolated projects.

Each repository functions like a district within a living digital infrastructure system.

Each repository below is built to:

• Generate synthetic and live data
• Include forecasting engines
• Expose dashboards
• Demonstrate scalability patterns
• Include CI/CD and observability
• Present commercialization pathways

FinTech Infrastructure Simulation

Problem Solved:
Modern financial systems require modular, observable, event-driven architecture capable of supporting digital assets, forecasting liquidity, and detecting anomalies.

What It Demonstrates:

• Double-entry ledger modeling
• Multi-currency simulation
• Event bus architecture
• Fraud pattern simulation
• Cashflow forecasting engine
• API + Admin dashboard

Tech Stack

• Backend: C# / Python
• Frontend: React + TypeScript
• Database: PostgreSQL
• Docker + CI/CD

Generated Data

• Transaction volumes
• Currency volatility
• Fraud signals
• Liquidity projections

Commercial Path Digital banking sandbox infrastructure for fintech startups.

Forecasted Enterprise Value $2M–$10M concept viability depending on integration layer.

Scalable UI Infrastructure

Problem Solved:
Scaling product design across teams requires versioned tokens, accessibility automation, and component governance.

What It Demonstrates:

• Token architecture
• Theming engine
• Storybook documentation
• Performance instrumentation
• Usage analytics
• Accessibility scoring

Tech Stack

• TypeScript
• React
• Storybook
• CI/CD
• Monorepo architecture

Generated Data

• Component render analytics
• Adoption metrics
• Accessibility compliance scoring
• UI performance trends

Commercial Path Licensable design system foundation for SaaS companies.

Startup-Scale Infrastructure Platform

Problem Solved:
Early-stage companies lack unified analytics, forecasting, and scalable infrastructure.

What It Demonstrates:

• Authentication
• User analytics
• Revenue tracking
• Cohort analysis
• Growth forecasting engine
• Modular plugin system

Tech Stack

• Full stack JS
• PostgreSQL
• Analytics pipeline

Generated Data

• Simulated growth curves
• Engagement funnels
• Revenue projections

Commercial Path B2B SaaS infrastructure for startup acceleration programs.

AI & Forecasting Platform

Problem Solved:
Organizations struggle to operationalize forecasting models into usable dashboards.

What It Demonstrates:

• Time-series forecasting
• Text summarization
• Model benchmarking
• Visualization dashboards
• Synthetic data generation engine

Tech Stack

• Python
• Jupyter
• Visualization frameworks
• API exposure

Generated Data

• Forecast projections
• Model accuracy scores
• Comparative analytics

Commercial Path Decision intelligence tooling for operations and risk analysis.

Weather & Infrastructure Risk Analytics

Problem Solved:
Infrastructure resilience depends on climate event prediction and impact modeling.

What It Demonstrates:

• Weather API ingestion
• Economic impact modeling
• Risk scoring engine
• Visualization dashboards
• Public safety alert simulation

Tech Stack

• React
• API integration
• Data processing

Generated Data

• Storm impact simulations
• Infrastructure stress scores
• Risk forecasts

Social Impact Climate resilience awareness + infrastructure preparedness modeling.

Commercial Path Municipal analytics platform.

Developer Tooling Innovation

Problem Solved:
Engineering teams lack forward-looking insight into technical debt and architecture risk.

What It Demonstrates:

• Repo structure parsing
• Dependency graph visualization
• Modularity scoring
• Refactor cost forecasting
• Risk analytics dashboard

Tech Stack

• TypeScript
• Static analysis
• Visualization

Generated Data

• Dependency maps
• Risk trend scoring
• Refactor projections

Commercial Path Enterprise engineering intelligence tooling.

Academic Background

• Atmospheric & Oceanic Sciences (B.S.)
• Environmental Studies Certificate
• Computer Science (Python / Matlab / Jupyter)
• Aerospace Leadership Lab
• Linguistics (Spanish & Arabic)

🌱 macOS — functional
🍃 Linux — production capable
🌳 Windows — enterprise strong

Now

• Strengthening forecasting engines
• Expanding CI/CD coverage
• Adding observability instrumentation

Next

• Mobile dashboard client (React Native)
• Cross-platform deployment demos
• API monetization layers

Future

• Distributed systems simulation
• Infrastructure scaling benchmarks
• Enterprise-grade compliance modeling

Every system should:

• Generate measurable data
• Forecast its own evolution
• Scale predictably
• Provide commercial optionality

Building resilient digital ecosystems that forecast the future.