“The needs of the many” is a starting point. I build for the ones the system forgot to count.

I design tools for the communities most likely to be missed by conventional systems — Disabled people, low-income residents, chronically ill neighbors, and transit-dependent riders. Not as an afterthought. As the primary user.

Climate vulnerability follows the same maps. The neighborhoods most exposed to extreme heat, flooding, and environmental burden are the same ones conventional systems undercount. That's where I build.

By day I work in fintech. By conviction I work in civic tech.

My work lives in two tracks:

-Machine Learning for Equity - Supervised machine learning models built on public data, designed to help cities act before harm happens

-Vibe Coding for Climate Justice - No-cost, low barrier climate tools built with Claude assistance and open-source data, so communities don't need a development budget to get answers

I completed the Equitech Futures Civic Tech Institute (CTI) 2026 cohort. Think of me as an engineer who reads the mission statement first and the tech specs second.

I approach climate tech the same way I approach civic tech: equity isn't a filter you apply at the end. I work to center communities at the intersections of climate vulnerability and systemic neglect. Tools that don't address underserved resident groups don't really solve the problem.

XGBoost · Supervised Classification · Climate Equity · Public Health

Assigns every US ZIP code a probability score for elevated heat illness during an approaching extreme heat event — so cities deploy cooling resources before hospitalizations pile up, not after.

The official US heat death count for 2023: 2,415. The estimated real count: ~11,000. That gap is a policy failure and a data problem. SustAInable is a proposal to close it.

Origin story: I nearly passed out walking my dog during Philadelphia’s June 2025 heat emergency. I’m Disabled. I don’t have the option of “just stay inside.” Neither do a lot of people.

• 🎯 Primary users: Municipal emergency managers, public health departments, community-based organizations
• 🗺️ Scope: National coverage at ZIP code level; deployable 48–72 hours before event peak
• 📊 Stack: XGBoost · CDC PLACES · NOAA HeatRisk · ACS 5-Year Estimates · SMOTE

XGBoost · Supervised Classification · Transit Equity · Disability Justice

Predicts which transit elevators, escalators, and platform lifts are likely to fail in the next 30 days — so maintenance happens before a Disabled rider shows up to a broken elevator with nowhere else to go.

Think of it as a credit score for mechanical equipment. One number per unit. One ranked list for maintenance teams. Zero riders stranded without warning.

• 🎯 Primary users: Disabled transit riders (and everyone else who can’t use stairs)
• 🗺️ Scope: Designed to scale from MTA NYC to any transit system on earth
• 📊 Stack: XGBoost · MTA Open Data · SHAP Explainability · Precision-Recall Optimization

No-cost, no-framework, no-barrier climate tools — built with AI assistance and open-source data. Every tool runs in the browser. No installs. No API keys. No budget required.

The goal: make climate data legible and actionable for communities, advocates, and organizers who shouldn’t need a dev team to answer basic questions about their own neighborhoods.

Plain HTML/CSS/JS · No frameworks · Runs entirely in browser

How much CO₂ are you actually saving by taking the bus? This tool answers that question — instantly, for free — so advocates, transit agencies, and everyday riders have a number to point to.

Built as a single index.html file. Zero dependencies. Open it anywhere.

• 🔗 Live tool: meyeringn.github.io/transit-carbon-calculator
• 📁 Repo: github.com/meyeringn/transit-carbon-calculator

Plain HTML/CSS/JS · OpenDataPhilly · No frameworks · Runs entirely in browser

Maps tree canopy coverage, heat risk, disability vulnerability, and equity gaps across 36 Philadelphia neighborhoods — in one place, for free, right now.

Features an equity dashboard, neighborhood comparison tool, disability + heat vulnerability tab, and a policy action generator. Built for organizers, planners, and residents who need to see the whole picture at once.

• 🔗 Live tool: meyeringn.github.io/canopy-watch
• 📁 Repo: github.com/meyeringn/canopy-watch

More tools in development.

I don’t just build tools about civic systems. I work inside them.

I’m trying to make Philadelphia work better — for Disabled residents, transit riders, and communities that government data has historically undercounted.

Machine Learning XGBoost · Supervised Classification · SHAP Explainability
SMOTE · Imbalanced Class Handling · Precision-Recall Optimization

Civic Data CDC PLACES · NOAA HeatRisk · ACS 5-Year Estimates
MTA Open Data · OpenDataPhilly · CDC WONDER · NSSP

Vibe Coding Plain HTML/CSS/JS · Browser-based tools · AI-assisted development
Open-source data · Zero-dependency deployment

Domains Transit Equity · Disability Justice · Climate Equity
Public Health · Civic Technology · AI Governance

I am a lifelong comics reader, a Starfleet sympathizer, and someone who believes the Rebellion had better data infrastructure than the Empire ever gave them credit for. I watch Formula One for the telemetry. I’m Disabled and that shows up in how I build.

If you work in transit, public health, climate equity, or disability justice and you’re looking for someone who understands the policy and the pipeline — I want to hear from you.

Open to civic tech collaboration, transit agency pilots, fellowship opportunities, and conversations about building tools that center the people most affected by the systems they model.