Overview
Area99 is a last-mile autonomous delivery vehicle program. My work covered the vehicle's full technical stack — mechanical prototyping, embedded control, the ROS 2 software stack, sensor integration, simulation, and cloud infrastructure. This page describes the engineering disciplines I worked across; product-specific designs and internals stay with the company.
Mechanical Design & Chassis Prototyping
- Designed and manufactured the vehicle's first chassis prototype, integrating the drive and suspension assemblies into a working platform.
- Designed and integrated advanced steer-by-wire chassis kinematics, bringing electronic steering from concept to a driving prototype.
- Contributed to the company's core mechanical IP generation.
Mechatronic Cargo Systems
- Designed and prototyped the delivery cargo system, taking it from concept to a working, software-controlled prototype.
- Owned the mechatronic integration end to end — actuation, embedded firmware, and the interface to the vehicle's software stack — ensuring seamless software-hardware integration for automated delivery workflows.
Embedded Systems & Vehicle Control
- Developed and integrated embedded Vehicle Control Units, bridging low-level actuation with the high-level compute platform via robust vehicle communication protocols.
- Owned the hardware/software integration across the platform: bring-up of the main compute, ROS 2 connectivity across subsystems, and closing the loop from software commands to physical motion.
- Focused on steer-by-wire control as the central integration challenge between the autonomy stack and the actuators.
Perception & Sensor Integration
- Completed the first integration test campaign for the vehicle's lidar and stereo camera sensing, including the automotive-grade physical transport layer (GMSL serializer/deserializer links, Fakra connectors).
- Worked on point cloud processing and multi-sensor fusion across lidar, camera, and ultrasonic data, with fused close-range awareness around the vehicle body.
Simulation & Autonomy Groundwork
- Set up a CARLA simulation environment and ran test scenarios in it — exercising autonomy logic without risking the physical prototype.
- Evaluated open-source autonomy frameworks in depth and mapped how they would integrate with the vehicle platform.
Cloud Infrastructure
- Stood up self-hosted Kubernetes infrastructure with GitOps-style deployment workflows (ArgoCD) supporting the platform's services.