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

I design machine learning tools for the communities most likely to be missed by conventional systems — Disabled people, low-income residents, chronically ill neighbors, 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.

I completed the Equitech Futures Civic Tech Institute (CTI) 2026 cohort, where I developed two supervised machine learning tools grounded in publicly available data and designed explicitly for equity. 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 isn't really solving 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, deploying predictive machine learning as a climate resilience intervention, not an after-disaster report.

• Primary user: Municipal OEMs, public health departments, community-based organizations
• Scope: National coverage at ZIP code level; deployable 48–72 hours before event peak
• Status: Phase 2 EDA in progress

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 user: Disabled transit riders (and everyone else who can’t use stairs)
• Scope: Designed to scale from MTA NYC to any transit system on earth
• Status: Phase 2 EDA in progress
• The climate connection: Transit is one of the highest-impact emissions reduction tools a city has, but it's also a climate vulnerability. When extreme heat compounds with a broken elevator, a Disabled rider isn't just inconvenienced, they're stranded because the system didn't account for them. UpLift treats accessibility infrastructure reliability as a climate resilience issue, not a maintenance backlog.

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

Philadelphia isn’t just where I live. It’s the city I’m trying to make 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

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.

*Actively seeking climate tech fellowship, transit agency pilots, and civic tech collaborators, especially at the intersection of machine learning, climate adaptation, and disability justice. Currently targeting programs including ClimateBase, GPLEX, and mission-aligned organizations building for equity.

If you work in transit, public health, climate resilience, or disability justice, and you're looking for someone who understands the policy and the pipeline, let's talk*