I’m a Computer Science student at Hunter College, minoring in Mathematics. I build software across engineering, data, and product: systems that make complicated information easier to inspect, compare, and use.
I work on data-heavy software where correctness and real-world constraints matter, trying to own the full path from data model and infrastructure to the user-facing product: normalizing messy inputs, designing reliable backend behavior, testing assumptions against real usage, and building interfaces that help people make decisions without hiding the complexity underneath. My work ranges from a public discovery product to a prediction-market research platform and internal reporting systems, each with an interface designed around the people who use it.
Coursework: Data Structures & Algorithms, Applied Statistics, Data Analysis with Python/Pandas, SQL & Databases.
Treasurer, Computer Science Club — CUNY Hunter College. Partnerships, fundraising, and budget. 2026–Present.
Fellow, America Needs You. Selective two-year fellowship for first-generation students. Aug 2025–Present.
A safety-first system for testing whether apparent price differences between Kalshi and Polymarket survive contract review, real fees, order-book depth, and execution constraints.
A mobile-first NYC discovery product that turns messy venue data into searchable, time-aware happy-hour listings across all five boroughs.
Replaced a days-to-weeks manual reporting cycle with a Google Sheets system that computes reports in place across 6+ language sections as staff enter data.
Migrated thousands of student records into a structured Excel system and automated cross-sheet reporting over 400+ active records with VLOOKUP, SUMIF, and date logic.
Built a Python pipeline ingesting thousands of real-estate listings from the Remine API, normalizing JSON responses and joining them with public housing, income, tax, and utility datasets in pandas.
Developed affordability models covering home prices, appreciation, income-to-mortgage ratios, and first-time-buyer thresholds for internal and client-facing reports.
Parsed public business datasets to identify qualified tri-state leads and built a semi-automated Apollo outreach pipeline, generating 20+ qualified leads, a 15% response rate, and one signed contract.
Designed and delivered 50+ community health workshops averaging 20 participants, owning curriculum, slide decks, and live Q&A while translating clinical material for non-expert audiences.