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About

Building data pipelines for foundational models along with racing drones and embedded vision systems

Focus

Tackling the data problem. Putting small models on robots with no cloud and limited compute. Also working with edge robotics, tactile sensors and vision systems, along with recording, processing and cleaning robotics data so that it can be useful.

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Work

  • Software & Data QA for Embodied Intelligence (NDA active!)Software EngineerData quality on motion-driven systems. Built LensGrid, a data operations platform that ingests, validates, previews and delivers motion datasets. Added post-processing toolkits, frame-level previews, QA tagging and batch export workflows from AWS servers around the world.Noitom Robotics
    • Motion capture
    • Data QA
    • Embodied AI
  • Savor, transform food waste into decisionsTreehacks Honorable MentionA Raspberry Pi camera system running a fine-tuned YOLO food model at the edge, using transfer learning and custom food data generated with multimodal models to improve recognition across real-world plates.Edge Vision
    • Fine Tuning
    • Transfer Learning
    • Edge AI
    • Embedded Vision
    • Computer Vision
    Repository
  • Smart Racing Drones (Suspended. ESC is dead.)Built a racing drone from the ground up including a custom carbon frames, motors, ESCs, flight controller, etc. Deployed a lightweight event-based vision model onboard for low-latency obstacle detection and evasive control at racing speeds.Embedded Vision
    • Wiring
    • Building
    • Drone Software
    • Event Based Vision Models
  • cpvc~5,000 downloadsLow-level systems work in Rust: one cross-platform wrapper over the native volume APIs each OS exposes, so controlling system audio is the same call on every platform. Published open source.Rust Crate
    • Rust
    • Systems
    • Cross-Platform
    • Audio
    • Open Source
    crates.io
  • Held back. Open it with a password.Locked
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    Affiliations