CS + Math senior @ University of Maryland ’27 · prev. Capital One & NASA Goddard
I build backend systems, AI applications, and data pipelines — at Capital One an LLM router directing 50K+ daily queries with 200ms decisions; at NASA Goddard a Python library for the TOLNet API that grew to 1K+ requests a day.
In my free time, I dig into problems that catch my interest and write up what I learn. Read the writeups →
Graduating June 2027 · open to full-time software-engineering roles · San Jose, CA, open to relocating anywhere in the US
Point your AI at this site and it reads my resume and projects directly — no copy-pasting into forms.
Easiest — works in any assistant that browses the web (ChatGPT, Claude, Gemini, Perplexity). Paste this, then add the role:
Evaluate arthur.perng.com as a candidate for this role: <paste a job description>
No setup or sign-in — the assistant fetches my resume and projects and assesses the match.
Or add the MCP server — a native, always-current connection for clients that support it:
https://arthur.perng.com/mcp
Claude: Settings → Connectors → Add custom connector. ChatGPT: developer-mode connectors → add the URL. Cursor / VS Code: one-click install via the MCP deep link.
Exposes live tools (get_resume, list_projects) plus a built-in screen_candidate prompt.
A safety-first AI agent that walks a broken home appliance from “it’s broken” to a verified fix.
Google ADK + Gemini agent with a manufacturer-data MCP server, a rules-based safety escalation engine, and a FastAPI backend on Cloud Run — plus one Flutter client spanning Android, iOS, desktop, and web. Solo capstone for the Google x Kaggle AI Agents Course.
Do prediction-market prices mean what they say? A full-history calibration study of Polymarket.
A resumable crawl/ETL pipeline collected 1.34M resolved markets and ~9.4M price snapshots into an indexed SQLite store queried with DuckDB. It scores whether an outcome priced at probability p actually resolved true about p of the time — with Brier score, log-loss, Wilson intervals, and expected calibration error across seven pre-close horizons.
Market intelligence for an MMO economy with no order book.
A dashboard for the Wynncraft MMO’s player-driven trade market: daily price history, a 0–100 liquidity score, and roll-aware price estimation for identified items, built on the crowdsourced WynnVentory API.
Snap a photo of a receipt in Discord; get an itemized breakdown back — and a long-term record of your spending.
Google Gemini reads the receipt photo, extracts line items and prices (discounts handled automatically), and replies with an expense pie chart — all through one /analyze slash command. Every receipt is also tracked in a SQLite database, so spending can be analyzed over the long term.
Ranks nearby gas stations by live, scraped pump prices.
Scrapes live prices from GasBuddy and geocodes each station with the Google Places API to rank the nearby options.