CV

Brad McNew

mcnew@umich.edu
(617) 708-9241
https://bradmcnew.github.io
Ann Arbor, MI, US
LinkedIn GitHub

Summary

A highly motivated Computer Science student at the University of Michigan with experience in full-stack development, AI/ML, and technical consulting. Passionate about building innovative solutions and leading entrepreneurial projects.

Education

  • Bachelor of Science in Computer Science
    2027
    University of Michigan
    Courses: Data Structures & Algorithms, Web Systems, User Interface Development, Database Management Systems, Startup Sales

Work Experience

  • Founder & Full-Stack Developer
    2024-08 - Present
    Discuno
    A web platform connecting prospective students with verified university mentors.
    • Architected and developed a full-stack mentorship platform from the ground up using Next.js deployed on Vercel.
    • Led the full product lifecycle from ideation and user research to a successful beta launch, acquiring an initial cohort of 50+ early users through targeted campus outreach and social media campaigns.
    • Designed and implemented secure payment processing with Stripe, including webhook-based communication for real-time transaction handling.
    • Conducted 20+ user interviews and usability tests to gather feedback.
  • Technical Consultant
    2025-01 - Present
    University of Michigan, ITS
    • Provide direct technical support to over 1,000 students and faculty, resolving an average of 150+ tickets per month related to software, hardware, and network connectivity issues.
    • Troubleshoot complex issues with university-wide enterprise systems, including Canvas, Duo 2FA, and Adobe Creative Cloud, improving user uptime and satisfaction.

Skills

Languages

  • Python
  • JavaScript/TypeScript
  • Java
  • C++
  • SQL
  • HTML/CSS

Frameworks

  • React
  • Node.js
  • Express
  • Next.js
  • Flask
  • Tailwind CSS
  • JUnit

Databases & Tools

  • PostgreSQL
  • MongoDB
  • Git
  • Docker
  • AWS (EC2, S3)
  • Figma
  • Jira
  • Postman

Portfolio

  • Embedded AI Chat
    Fall
    Rag-enabled chatbots for smb websites
    Developed retrieval-augmented generation (RAG) chatbots integrated into local business websites to answer customer queries with context-aware responses. Read more...
    Tech Stack: n8n, OpenAI API, Pinecone, Node.js, TypeScript, Webhooks
    View Project
  • Axite AI
    Wint
    Python agent for sim2real sensor validation
    Built a Python-based software agent that attaches to a robot, logs live sensor streams using Rerun, and synchronizes with a server for sim-to-real differential analysis. Read more...
    Tech Stack: Python, Rerun, WebSockets, AWS, Docker
    View Project
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