Joshua Stovall

• Developed a multi-platform patient portal (Next.js + Expo) serving thousands of daily users across 8 dental laboratories
• Architect and scale Node.js/TypeScript backends (Express, Drizzle ORM, PostgreSQL, MS SQL Server, Socket.io, Redis) orchestrating CAD file ingestion, manufacturing queues, and real-time collaboration
• Build cross-platform 3D tools by sharing modular Three.js components between web and mobile, enabling interactive visualization of dental photogrammetry scans
• Implement platform-wide RBAC and secure authentication (NextAuth, JWT) across all portal features and workflows
• Deliver a modular form-builder system for admins/CSR and maintain high code quality with OpenAPI/Swagger docs, Jest testing, and refactoring

• Lead development of 3D anatomical rendering and surgical animation software, delivering interactive visualizations for personal injury patients, attorneys, and medical professionals
• Architect and manage cloud infrastructure (AWS S3, MongoDB, PostgreSQL, Orthanc DICOM servers, Azure VMs, pfSense VPNs) ensuring HIPAA-compliant secure access to millions of medical files
• Develop and maintain backend services (Node.js, Express, Python, Flask, Django, Docker, Cycle.io) for CAD/DICOM ingestion, automation pipelines, and microservice orchestration
• Create proprietary 3D modeling tools and plugins (C++, Python, Blender Geometry Nodes, DaVinci Resolve scripts), reducing technician case time by 25–30%
• Integrate APIs and automate workflows, including Clio/Filevine webhooks and UniCourt Legal Data ETL, delivering weekly sales reports and streamlining document sharing

• Lead development of a full-stack MERN CRM (React, Redux, Electron, Node.js, MongoDB) managing the company's global film catalog and internal workflows, including client uploads, asset management, financial reporting, and HR functions
• Engineer automated media pipelines for streaming platforms, including video extraction, transcoding with FFMPEG, image resizing with Sharp, and platform-specific metadata generation (JSON, XML, MRSS)
• Develop a closed-caption localization service using Node.js and Google Cloud Translation API, enabling rapid translation of .SRT subtitle files for international distribution
• Design and deploy real-time live streaming infrastructure across multiple platforms (YouTube, Twitch, Facebook) using NGINX, FFMPEG, HEVC, and RTMP, optimizing broadcast workflows and audience reach
• Build and maintain public-facing marketing websites showcasing the film catalog with search, trailer streaming, and dynamic content updates via the internal CRM

• Developed a music education software application an entrepreneurial venture, distributed on iOS, Android, and web browsers, it features virtual fingering charts for various instruments, along with tools like a tuner, metronome, MIDI player, oscilloscope, and audio recorder.
• Designed to aid musicians in practice and learning, the app is free, cross-platform, and available in over 30 languages.
• Created to modernize music education beyond traditional paper charts.
• Achieved over 100 weekly downloads and a 4.5-star rating in the iOS app store.
• Successfully funded through a Kickstarter campaign with 719 backers.
• Showcased at the 2019 Midwest Clinic and the 2020 NAMM Show, earning recognition in the music education community.

• Design and operate mission-critical, real-time signal systems using Yamaha CL3, Dante (IP audio), and low-latency digital routing, supporting live performance at scale
• Engineer fault-tolerant playback infrastructure with redundant Mac mini MainStage systems and hot-failover audio paths, ensuring uninterrupted real-time output
• Architect and manage distributed IP networks for synchronized audio delivery across line arrays, stage I/O, and playback nodes in dynamically changing environments
• Execute rapid system provisioning (sub-3-minute setups), including RF spectrum coordination (Wireless Workbench), network validation, and seamless reconfiguration per venue
• Optimize system performance per venue through latency tuning, signal integrity analysis, and acoustic modeling, maintaining consistent output quality under real-time constraints

Score-Sauce.com · R&R Landscaping · BOOM! Percussion Entertainment

• Build and ship marketing and e-commerce sites for small-business clients end to end — scoping, development, deployment, and handoff
• Develop Score-Sauce.com, a Next.js storefront for music notation templates, integrating the Stripe API for checkout and the Gmail API for order fulfillment and customer correspondence
• Build rrlandscapingdesign.com, a Next.js, TypeScript, and Tailwind marketing site for a landscaping contractor
• Deliver SEO strategy for BOOM! Percussion Entertainment: keyword research, competitive analysis, and on-page WordPress optimization improving page load speed and mobile responsiveness
• Revitalize client media presence across online social platforms

Corona del Sol HS · Perry HS · Skyline HS · Vision Percussion

• Arrange and compose for 30+ member mallet ensemble, 50+ member steel drum band, marching band, and WGI indoor percussion across four programs — six WGI shows total — using Sibelius, MuseScore, and Logic Pro X
• Instruct front ensemble and battery percussion in individual and group settings, developing technique, musicality, and performance skills
• Manage live audio for Arizona's largest high school marching band and a 5-time WGI World Championship finalist ensemble: MainStage programming, live amplification, and performance recording
• Produce video content for a YouTube channel with 250,000+ views

React Native design system with 120+ themable components for iOS, Android, and Web

A free modular synthesizer in the browser — patch oscillators, samples, effects and visualizers with cables

Browser games for practicing music reading, rhythm, ear training, and instrument fingerings

Marketing website for a landscaping company

Music notation template E-commerce shop with Stripe API integration

Web application to create timelapse GIFs with Landsat 8 Satellite Imagery

Detect solfege hand signs using machine learning