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JOSEPH CROWN

AI & Full Stack Software Engineer
  • +1 667 942 3729
  • crownjoseph43@gmail.com

Professional Profile

MSc Cybersecurity student and software engineer with experience building AI-powered applications, cross-platform desktop platforms, real-time systems, and scalable full-stack software infrastructure. Experienced in TypeScript, Python, Rust, React, Node.js, WebSockets, and AI/LLM integrations. Built production-grade systems involving semantic search, real-time transcription, collaborative networking infrastructure, and AI workflow orchestration. Seeking Software Development Engineer opportunities focused on backend systems, distributed systems, AI infrastructure, and scalable product engineering.

Projects

SmartVerses – AI-Powered Cross-Platform Presentation Platform

  • Built a production-grade cross-platform desktop application supporting live presentation, AI-assisted workflows, and synchronized audience displays.
  • Developed AI-powered slide generation, semantic scripture matching, real-time transcription, and collaborative editing systems.
  • Implemented multi-provider LLM orchestration using OpenAI, Anthropic, Gemini, and Groq APIs.
  • Built embedded WebSocket infrastructure supporting synchronized multi-device collaboration and real-time state updates.
  • Designed offline-capable AI workflows using Whisper and embedding-based semantic search systems.
  • Created automated CI/CD release pipelines supporting Windows and macOS deployments.
  • Implemented secure credential storage, authenticated backend services, and encrypted local secret management.

ProtoLab-AI-Research – Modular AI Research Infrastructure

  • Designed a modular AI experimentation platform for protocol-based research workflows and AI pipeline orchestration.
  • Built reusable backend architecture supporting scalable experimentation and future distributed AI workflows.
  • Developed extensible workflow systems for AI automation, orchestration, and research infrastructure.
  • Applied modular systems design principles to support scalable multi-stage AI experimentation.

LangChain Chat with Documents – RAG Document Intelligence Platform

  • Developed a Retrieval-Augmented Generation (RAG) platform enabling conversational querying of uploaded documents.
  • Implemented semantic retrieval pipelines using embeddings and contextual vector search systems.
  • Built document ingestion, indexing, and contextual query workflows for intelligent document interaction.
  • Designed scalable backend orchestration pipelines for AI-powered document analysis.

AI Interview Simulator – Conversational AI Platform

  • Built an AI-powered interview simulation platform capable of generating dynamic technical and behavioral interview interactions.
  • Developed conversational AI workflows, session state handling, and interactive user-facing AI systems.
  • Applied prompt engineering and backend orchestration techniques to create adaptive interview simulations.
  • Designed scalable architecture for real-time conversational AI experiences.

Professional Work Experience

Sept 2019 – Sept 2023
Radio 31

Technical Lead

  • Implemented automation systems improving operational efficiency of broadcasting workflows.
  • Maintained websites, IT systems, streaming infrastructure, and audio/video production equipment.
  • Built and maintained WordPress/MySQL systems supporting live online broadcasting.
  • Troubleshot production-critical technical issues to maintain operational reliability.
June 2016 – Sept 2019
Ecrown Technologies

Web Developer

  • Worked on 20+ website development projects including ecommerce platforms.
  • Developed frontend and backend functionality using JavaScript, PHP, WordPress, and Drupal.
  • Maintained MySQL databases and implemented CMS-based functionality enhancements.
  • Contributed to client-facing UI systems and backend integrations across multiple projects.

Technical Skills

  • TypeScript
  • Python
  • Rust
  • React
  • Node.js

Additional Skills

  • JavaScript
  • C#
  • Java
  • SQL
  • C++
  • HTML5
  • CSS
  • Vite
  • React Router
  • REST APIs
  • WebSocket
  • LangChain
  • OpenAI
  • Anthropic
  • Gemini
  • Groq
  • RAG
  • Embeddings
  • Semantic Search
  • Whisper
  • MongoDB
  • SQLite
  • MySQL
  • Unreal Engine
  • .NET MAUI
  • WordPress
  • Drupal
  • Git

Education & Certifications

  • MSc Cybersecurity
    Hood College
    2025 – Present
  • BSc Computer Science with Artificial Intelligence - Upper Second Class (2:1)
    Coventry University
    2022 – 2024
    Relevant Coursework: Artificial Intelligence, Machine Learning, Big Data Programming, Security, Operating Systems, Data Science, Web API Development, Mobile App Development, Self-Driving Car AI

Additional Information

  • Formula Student AI
    Contributed to a 1st Place Formula Student AI autonomous vehicle project involving LiDAR sensor fusion, ROS, C++, and machine learning systems.
  • Technical Focus
    Experience developing real-time systems, AI tooling, multimedia automation pipelines, and cross-platform desktop applications.