Engineering the systems behind tomorrow.

Problem

Raw market and financial datasets are noisy, fragmented, and slow to interpret — analysts and curious users lose signal in the structure.

Solution

Built a graph‑based exploration tool with a clean UI for navigating market relationships, time series, and connected entities. Iterated on the interaction model based on user sessions to make complex data feel browsable.

Impact

Designed to make financial information faster to interpret. Iterations from 100+ user sessions drove a measurable lift in weekly active use and held 99.9% uptime in production.

Problem

CommonSpirit Health's community investment teams worked from fragmented spreadsheets and manual workflows — hard to compare, validate, or surface trends across hundreds of communities.

Solution

Engineered AI‑assisted dashboards, batch uploads, validation workflows, and multi‑year trend analysis on Next.js + Supabase, replacing manual processes with a decision‑ready interface for community investment.

Impact

Guides $400M in community investments across 2,300+ care sites and 200+ communities — improving reporting cadence, trend visibility, and how teams prioritize resources at scale.

Problem

Lamplight Women's Literacy serves adult learners through ESOL and Healthcare Careers Pathway programs. Student data lived across spreadsheets, files, intake records, advising notes, assessments, and enrollment records — slow to retrieve, hard to analyze, easy to lose.

Solution

Built a database‑backed platform unifying registration, enrollment, assessments, advising notes, goals, and outcomes. MVP supports student input, class‑level student views, and admin maintenance — with search, filters, sort, CSV import/export, manual entry, detailed student records, and an admin whitelist.

Impact

Built for a nonprofit serving roughly 100 adult learners per year from 25+ countries. Replaces scattered spreadsheet workflows with a foundation for program tracking, advising, and reporting.