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Students face steep transportation costs (like $100+ Uber rides to airports) without reliable or affordable alternatives. PICKUP solves this by matching students traveling to the same destinations, enabling them to share rides and split costs.

● Founded and scaled a campus rideshare-matching platform, matching students to split airport rides and save 25–75% per ride

● Serving 2,000+ students in our trial run for a future licensing contract

● Architected a scalable full-stack system (React, Next.js, PostgreSQL, edge functions, authentication, ML) with secure REST API communication and relational schema design

● Led an 8-engineer Agile team, managing sprints, reviews, and deployment to production in <3 months

TA for Data Structures & Advanced Programming, Computer Systems, Intro to Languages and Theory

Conducted weekly mentor sessions and labs for 80 students to teach concepts like object-oriented programming, memory hierarchy, multithreading, & concurrency

Grutoring (grading + tutoring) for CS133 Database systems, including teaching how to write SQL and code MySQL from scratch in labs

Utilized OpenCV and Linux to process 200+ hours of video to transform raw footage into structured data frames

Used R to create statistical analyses and visualizations across 4 data frames

🔹 Bot Detection & Filtering: Built a full-stack solution to identify & filter web crawlers for cleaner analytics & fairer pricing for clients, while reducing Pendo’s infrastructure costs.

🔹 AI-Powered Trends: Delivered the backend foundation (2 API endpoints & core database query) that powers an AI agent that surfaces instant insights about user behavior to our clients.

🔹 Synthetic Data Generation: In a 5-person hackathon team, I developed an AI agent with a Model Context Protocol server that generates realistic datasets for safe internal testing & sales demos.