CS + Math @ Georgetown
working in machine learning, data science, and software development
I'm an undergraduate at Georgetown University studying Computer Science and Mathematics, with a particular interest in how data, ML, and AI systems drive civic and social impact.
02 / work
work
- 01
My 5
Python · AWS · Terraform · Next.js
2026
my5 lab · matchup simulator - 02
CapitolCast
Python · PyTorch Geometric · FastAPI · Next.js
2025
capitolcast · bill advancement forecast - 03
Bike Heat Exposure Research
ArcGIS Pro · OpenStreetMap · USGS · NOAA
2024mapping how land surface temperature and wind speed shape cycling across the DC metro area.
ArcGIS ProOpenStreetMapUSGS Earth ExplorerNOAA NCEI
ASSIP research poster · George Mason University
— index · 17 tools · 4 domains
select a node
17 tools · 4 domains
languages
- python
- typescript
- java
- c++
- sql
- r
ml & data
- pytorch
- scikit-learn
- xgboost
- pandas
infrastructure
- aws
- docker
- terraform
- postgresql
interfaces
- next.js
- react
- fastapi
- python — languages — 2m+ apc records spatially joined to census tracts
- pytorch — ml & data — graphsage gnn benchmarked on a 5.8m-edge cosponsorship graph
- aws — infrastructure — serverless monte carlo simulator, 43× hot-path speedup
- next.js — interfaces — live explainable bill forecasts across 16k bills
- typescript — languages — full-stack demo interfaces for capitolcast and my 5
- scikit-learn — ml & data — ml pipeline forecasting bill advancement, 15× lift over baseline
- xgboost — ml & data — 86% cross-validated r² on transit ridership forecasting
- docker — infrastructure — containerized services for the multi-agency transit api
- terraform — infrastructure — infrastructure-as-code for the my 5 serverless stack
- react — interfaces — component interfaces for capitolcast and my 5
- java — languages — coursework — data structures and advanced programming
- c++ — languages — coursework — data structures and systems programming
- sql — languages — multi-agency transit api with schema-level data isolation
- r — languages — statistical modeling coursework
- pandas — ml & data — anomaly detection pipeline across 2m+ vehicle records
- postgresql — infrastructure — relational store behind the transit api
- fastapi — interfaces — serving live bill forecasts to the capitolcast frontend
03 experience
experience
Better Futures Institute
may 2026 — aug 2026
software engineer intern
transit APIs and ridership forecasting across a multi-agency system
Break Through Tech
may 2026 — present
ai/ml fellow
deep learning and RAG systems with corporate clients via Cornell Tech
Georgetown Ventures
sep 2025 — present
software engineer
async ingestion and autonomous agents for an AI travel startup
Hoyalytics
sep 2025 — present
director of training
led data science training for 500+ students
George Mason University
may 2024 — aug 2024
geospatial analytics researcher
geospatial modeling of heat exposure across DC bike networks
04 / background
background
01
seoul, south korea
2007—2014
02
alexandria, virginia
Thomas Jefferson High School for Science and Technology
Advanced Studies Diploma
- computer science principles
- data structures
- web app development
- mobile app development
- engineering research lab
- calculus bc
- multivariable calculus
- linear algebra
- ap statistics
- statistical modeling
03
washington, d.c.
Georgetown University
B.S. Computer Science · A.B. Mathematics
- computer science i & ii
- data structures
- advanced programming
- discrete math
- multivariable calculus
- intro to math statistics
let's connect
jp2282 [at] georgetown [dot] edu
always up for a conversation about ML, civic tech, or pizza