Rayan
Chahid

Engineered a "Zero Friction" AI Charting platform that automates the data-to-insight pipeline. Built a robust "Data Janitor" system with Pandas to auto-correct headers, impute missing values, and detect semantic types, integrated with OpenAI to transform natural language queries into dynamic, interactive visualizations.

Engineered a high-performance native macOS utility to orchestrate local development environments. Developed a custom process manager in Swift that bypasses the App Sandbox to interact with low-level system calls (lsof, kill signals). Implemented a non-blocking I/O pipeline using NSPipe and Combine to capture and parse live stdout streams for real-time port detection.

Architected a RAG-powered nutrition assistant using FastAPI, Next.js, and pgvector, enabling semantic search over thousands of daily menu items. Engineered a fully automated ETL pipeline via GitHub Actions and Playwright to scrape, clean, and re-index data every 24 hours, ensuring 100% embedding freshness.

Engineered a real-time 8-player trivia platform with <100ms latency using Node.js, Socket.IO, and React. Implemented scalable state machine architecture with host-migration protocol and Supabase-backed authentication.

Collaborated on a 7-person Agile team to deliver a full-stack gamified productivity app for students. Engineered geospatial Class Attendance Module using Google Maps API with geofenced location verification.