Daniel Haven

About

• Software engineer with 5+ years building and maintaining production PHP/Laravel applications from the ground up.
• Comfortable across the entire stack and fluent with AI-assisted development workflows that ship faster without sacrificing quality.
• AWS Certified Cloud Practitioner, currently expanding into AI engineering with Python and cloud infrastructure on AWS.

Professional Experience

Self-employedJune 2025 — Present

Independent Software Engineer

• Built and shipped CalSlashD, a calorie-countdown app for iOS and macOS (Apple silicon) in Swift, SwiftUI and SwiftData, now live on the App Store. Three more apps in development.
• Published four Chrome extensions on the Chrome Web Store, built solo in TypeScript with Vue 3 and SolidJS.
• Built and maintain danielhaven.com, a portfolio site on Astro, Tailwind and Cloudflare Workers that also serves an AI-readable candidate profile.
• Volunteering on the redesign of saintpeterandpaul.org.

Notable Project: CalSlashD (learn more)

Solar ReviewsFeb 2023 — June 2025

Software Engineer

• Replaced a legacy form-capture system with a Laravel service backed by object storage, retiring the old database and its associated storage costs two weeks after launch.
• Delivered sales and lead-management features adopted as daily tools by internal sales teams.
• Engineered large-scale Laravel/Vue applications supporting high-traffic consumer and sales workflows, with a focus on data integrity and query efficiency.

Notable Project: Watchdog 2 (learn more)

New Jersey RealtorsMar 2021 — Nov 2022

Technology Coordinator

• Refactored the auctioning system and governance profiles website, improving maintainability and reducing technical debt.
• Designed and built a full-stack application with a Vue frontend and Laravel backend from scratch.
• Acted as technical liaison between stakeholders and developers, translating business requirements into engineering specs.

ServicePlus Home WarrantyMay 2019 — Mar 2021

IT Specialist

• Automated a large-scale data-cleansing project in R, cutting completion time from four months to four weeks (75% reduction).
• Built call-center and operational reports from raw data, surfacing actionable insights for management decisions.
• Delivered technical support for internal employees across departments, maintaining operational continuity.

Education