daniel rosenthal.software engineer · New York, NY

Remote

• Architected and built a multi-tenant SaaS platform with a React/TypeScript frontend, including hierarchical tenant isolation and a consistent business logic across application layers for metric calculations, dashboards, and reports
• Built an OpenAI-powered agent with a React interface and vector search to provide researchers and conservationists with access to domain-specific knowledge; incorporated serverless malware scanning
• Designed a GiveCampus-to-CRM connector in TypeScript/Node.js for a client processing $10,000+ in daily gifts, using polling, a message queue, backfills, and daily reconciliation for gift and subscription ingestion
• Developed a Node.js/TypeScript service triggered by pull request webhooks to capture pull requests, generate AI-powered summaries via OpenAI models, and write formatted notes to a local Obsidian vault via a Cloudflare tunnel
• Built a CI/CD deployment pipeline for containerized services, with infrastructure-as-code provisioning for SQL and storage, pre-deploy validation, and a commit-version check that fails mismatched deployments
• Built a Node.js/Express API for a 65,000+ alumni network, implementing two-step criteria validation, field-level length enforcement, and partial update tracking with granular error responses
• Developing and maintaining full-stack application using Next.js, React, TypeScript, and OpenAI models to empower 40+ nonprofit organizations to effectively track, report, and showcase their social impact data

Remote

• Developed and maintained a file and email management web application using React.js, Node.js, AWS Lambda, DynamoDB, Stripe, and the Serverless framework for a small startup revolutionizing information management
• Architected a full-stack Box API connection that connected to users' accounts with OAuth and processed their folders and files with AWS Lambda, a critical part of bringing a new enterprise customer to Bithoop
• Built out a dynamic link-tracking feature, enabling users to associate and manage relevant links within a custom "hoop" for streamlined information access, resulting in a 20% increase in user engagement with external sources
• Optimized user subscription experiences, resolving frontend, backend, and Stripe Dashboard issues related to free trial cancellations and resumptions, user redirection, and product offerings within the Stripe CLI environment

Personal Project

• Building a React Native/Expo mobile app backed by a Supabase Edge Function data pipeline that ingests live NBA schedule and scoring data via ESPN endpoints and cron functions, persists game records, and notifies users whether a live 76ers game meets custom watchability criteria
• Implementing push notification workflows using Expo Notifications and Supabase Edge Functions to register subscribers, manage alert preferences, and trigger fan alerts around upcoming and live games

Personal Project

• Built a full-stack Spotify playlist intelligence app in Next.js, TypeScript, and Node.js/Express that recommends the best-fit playlist for any new track using a custom scoring algorithm
• Engineered a recommendation engine that ranks playlists via artist overlap, genre alignment, and popularity weighting to create a workaround for Spotify's deprecated audio-analysis endpoints

Personal Project

• Developing a full-stack web application using Next.js, Postgres, Prisma ORM, Tailwind, Leaflet, and Vercel to track and analyze individual NYC subway travel patterns, providing users with personalized commute statistics and insights
• Implementing secure user authentication with Auth0, enabling users to safely log and manage their subway trips with persistent data storage
• Integrating MTA API to seed comprehensive subway station, line, and shape file data into Postgres database, ensuring numerically and visually accurate trip logging across all NYC transit routes

• Bachelor of Science in Engineering, Computer/Electrical Concentration
• Minors in Computer Science & Mathematics
• Magna Cum Laude, Honors in Engineering, Dean's List 2019 - 2023, GPA: 3.72