AI & ML
Research - Engineering
From Earthbound ideas to lunar prototypes
I build AI systems that turn complex ideas into practical solutions.
From research to production, I focus on real-world impact, clean design, and continuous learning.
Research - Engineering
Design - Development
Build - Ship - Iterate
Three active experiments across workflow automation, visual intelligence, and low-latency voice systems.
Windows-first local file assistant with voice commands, indexing, safe open/reveal actions, and a macOS validation shell.
Workflow AIBrowser camera, upload, and clipboard image recognition using local CLIP, API mode, or a fast demo path.
Computer VisionLow-latency speech-to-text and streaming AI replies with visible ASR, first-token, and total latency metrics.
Realtime SystemsMoon Surface Lab
Local voice and text assistant for finding files, opening apps, handing folders to VS Code or Codex, and keeping actions behind safety checks.
Open detailsLocal web vision lab that accepts camera shots, image uploads, and pasted images, then returns object names, categories, confidence, and safety notes.
Open detailsSpeech interaction prototype that uses browser ASR, optional file transcription, weather grounding, and SSE streaming for visible fast feedback.
Open details