Hi, I'm Ben

Software engineer specializing in AI-integrated accessibility tools and full-stack development. I'm currently a Graduate Research Assistant at San Francisco State University, where I lead development on AMAVA — a real-time video-to-audio feedback system for visually impaired users.

My work has been accepted at ICPRAM 2026, with two papers on accessibility-focused AI systems. I work primarily in Python, JavaScript/TypeScript, and C++, with hands-on experience in PyTorch, React, Next.js, and cloud/MLops tooling like AWS and Docker.

I'm pursuing a Graduate Certificate in Software Engineering at SFSU (Expected 2026), with a B.S. in Computer Science from The Evergreen State College.

Latest papers
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Work Experience
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  • Feb2025 - Current
    San Francisco State University
    Graduate Research Assistant / Lead Developer

    Lead developer for AMAVA, an accessibility research project translating video input into real-time audio feedback for visually impaired users.

    • Engineered a motion-aware audio engine using YOLOv2 to classify environmental context and dynamically throttle audio playback.
    • Built a low-latency pipeline with captioning and caching using Gemini, torchaudio, ElevenLabs, and FFmpeg.
    • Authored an 8-page research paper detailing system architecture, user trials, and performance benchmarks.
  • Jan2025 - Current
    San Francisco State University
    Graduate Certificate in Software Engineering

    Focusing on AI, soft computing, high performance computing, and advanced software engineering principles. Expected completion 2026.

Let's Connect

If you want to get in touch about a project, research collaboration, or just to say hi, reach out on LinkedIn or send me an email.