Beli Web Clone
Built to demonstrate my interest in joining the beli team and showcase full-stack development skills. Features include Tastemakers (NYC food experts with badges), Group Dinner AI matching, What to Order recommendations, social feeds, and leaderboards. Built with React Native + Next.js + TypeScript.
Victor Cox IV
Note: Ratings are playful self-assessments inspired by Beli's restaurant review system—not actual performance metrics!
Experience
- Architected and led migration of critical data pipeline infrastructure from Apache Airflow 1 to 2, to fully managed infrastructure that reduced maintenance, allowed horizontal scalability
- Designed streaming data architecture using Kafka, replacing batch processing systems, resulting in faster processing, enhanced fault tolerance, and enabling horizontal scaling to 10x load
- Engineered MCP server integration with GitHub Copilot, building React document management interface that fed organizational knowledge into AI coding agents for context-aware code generation
- Led multi-team migration from legacy cloud storage to modern solution, coordinating technical plans and implementation across teams
- Engineered a full-stack database recommendation system using ReactJS, AWS Lambda, S3, and Python, implementing RESTful APIs and serverless architecture that reduced team queries by 60%
- Built and deployed a Slack chatbot integration using Node.js and the Slack API for query processing
- Developed system (Flask, PostgreSQL, Java) to collect gig worker behavioral data, analyzed Uber algorithm bias using pandas, and designed a UX-research-based prototype to help gig workers with task planning
- Co-authored paper "A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality" published at CHIWORK '22
Education
Technical Skills
Languages
Frameworks & Libraries
Data & Streaming
Cloud & Infrastructure
APIs & Integration
Featured Projects
Vercel-deployed Next.js application featuring daily Hanzi character learning with spaced repetition methodology
Built full-stack AR marketing app for scanning competitor whiskey bottles and automated PayPal rebates. Integrated Google Cloud Vision API for real-time detection across 15+ brands. Implemented 6-layer fraud prevention (cryptographic hashing, rate limiting, receipt validation). Stack: Next.js, TypeScript, Supabase, PayPal API
(In Progress) Firebase-deployed React marketplace with Stripe payment integration for pottery auctions and creative idea collection
Beyond Code
Ceramics and pottery • Baking/Cooking • Fantasy/Sci-fi • Chinese (Language) (Very Bad at it) • Yo-yo • Travel • Eating • Rec Sports • Urban Planning • Climbing • Lifting
* Ratings are playful self-assessments inspired by restaurant reviews, not actual performance metrics. They reflect enthusiasm and comfort level rather than objective skill measurements.
