[
  {
    "title": "Perception Engineering Intern",
    "company": "moss",
    "description": "autonomy, cv pipelines, and reliability for agbots",
    "details": [
      "Architected an end-to-end C++/ROS 2 stack for autonomous agricultural rovers, owning sensor integration, planning, and control across two robot platforms.",
      "RTK-odometry fusion and microsecond-level sensor sync into real-time SLAM held mean follow error under 20cm over 500m of autonomous tests.",
      "Also built Rust synthetic point cloud pipelines at 4M+ points per second for computer vision training."
    ],
    "website": "https://moss.ag",
    "logo": "/assets/logos/moss.jpg",
    "media": "/assets/demos/moss-autonomy.gif",
    "pages": [
      {
        "media": "/assets/demos/moss-autonomy.gif",
        "caption": "autonomous row following",
        "text": [
          "Architected an end-to-end C++/ROS 2 stack for autonomous agricultural rovers, owning sensor integration, planning, and control across two robot platforms.",
          "RTK-odometry fusion and microsecond-level sensor sync into real-time SLAM held mean follow error under 20cm over 500m of autonomous tests."
        ]
      },
      {
        "media": "/assets/demos/moss-synthetic.png",
        "caption": "synthetic point cloud pipeline",
        "text": [
          "Built Rust synthetic point cloud pipelines at 4M+ points per second, rendering labelled tree-row scenes like this one for computer vision training."
        ]
      },
      {
        "caption": "reliability",
        "text": [
          "Developed Ansible playbooks and flashing scripts to provision NVIDIA Jetsons from factory-new to field-ready.",
          "Collaborated on OTA deployment systems to deploy the whole fleet in parallel from a pinned release.",
          "Also built a hardware test harness to verify each kit, covering sensor bringup, end-to-end mission recording, and sensor dropouts."
        ]
      }
    ],
    "location": "San Francisco, CA",
    "technologies": [
      "ROS 2",
      "Rust",
      "C++",
      "Linux"
    ],
    "dates": [
      "2026.5",
      "2026.8"
    ],
    "current": false
  },
  {
    "title": "Robotics SWE",
    "company": "WATonomous",
    "description": "prediction pipelines for autonomous vehicles",
    "details": [
      "Wrote concurrent C++/ROS 2 software for perception and planning on EVE, the autonomous vehicle built by Waterloo's student design team.",
      "Rapid-inference models predicting how external agents behave cut safety incidents by 3x.",
      "Integrated those models with the perception, world modelling, planning, and action nodes, and maintained Docker environments to keep the stack reproducible."
    ],
    "website": "https://watonomous.ca/projects/eve",
    "logo": "/assets/logos/watonomous.jpg",
    "media": "/assets/demos/watonomous.gif",
    "location": "Waterloo, ON",
    "technologies": [
      "C++",
      "ROS 2",
      "Docker",
      "Foxglove"
    ],
    "dates": [
      "2025.9",
      "2026.4"
    ],
    "current": false
  }
]