Max Young
vehicle platforms · OTA · fleet operations
Selected case studies
Platform engineering for autonomous vehicles and production systems.
I turn operational bottlenecks into reliable software platforms—from product definition and
architecture to hands-on implementation and production rollout. My recent work connects vehicle,
backend, factory, and fleet workflows at meaningful scale.
13+years building production systems
4+years in autonomous driving
5,000vehicles supported by delivery infrastructure
Vehicle delivery systemsSOTA/FOTA, maps, configurations, version state, rollback, and unreliable-network recovery
Operational platformsFactory calibration, incident management, route delivery, and cross-team workflows
Backend & systems engineeringPython, Linux, distributed services, messaging, observability, automation, and reliability
End-to-end ownershipProduct definition, architecture, implementation, deployment, and production iteration
Professional work
Featured projects
Internal product details are intentionally limited; the case studies focus on scope, decisions, and outcomes.
Rino.ai2022–Present
Vehicle Software Delivery Platform
Fleet-scale SOTA/FOTA orchestration for autonomous vehicles
My scopeArchitecture owner and lead platform engineer in a three-person vehicle-platform team
Challenge
R&D, factory, and fleet teams relied on separate delivery tools while vehicle count, software complexity, and map size were growing. Updates needed to remain observable and recoverable across unreliable networks, constrained vehicle storage, and distributed TBOX/ADCU nodes.
What I delivered
Defined the product direction and architecture for reusable vehicle-delivery infrastructure.
Architected and implemented a distributed FOTA MVP spanning orchestration, vehicle clients, backend services, web management, failure recovery, and power-loss safety.
Designed delivery strategies for software, configuration, and map datasets reaching hundreds of gigabytes.
One calibration workflow for production lines and field operations
My scopeEnd-to-end owner and lead developer
Challenge
Sensor calibration was slow, fragmented, and communication-heavy. The process limited factory throughput and forced field teams to spend up to a full day completing work on one vehicle.
What I delivered
Built an automated workflow covering calibration execution, validation, and operational handoff.
Integrated Python and Shell orchestration with C++ and OpenCV-based calibration capabilities.
Designed the platform for both repeatable factory production and fast field maintenance.
2–3 → 30+Vehicles calibrated per factory day
0.5–1 day → under 3 minField calibration time per vehicle
Python
Shell
C++
OpenCV
Linux
Rino.ai2022–Present
Fleet Operations Platform
Incident management and route delivery connecting R&D with operations
My scopeEnd-to-end product and full-stack engineer
Challenge
Autonomous-driving incidents and route delivery crossed team boundaries, but fragmented workflows made ownership, progress, and operational feedback difficult to track.
What I delivered
Built a shared workflow for incident intake, investigation, resolution, and delivery visibility.
Connected R&D and operations around consistent ownership, status, and route-delivery information.
Delivered the backend, frontend, data model, and production workflow as one integrated platform.
13 → 7Incidents per 10,000 km within six months
R&D ↔ OperationsShared workflow and delivery visibility
Python
Flask
React
Ant Design
Tailwind CSS
MySQL
Dedao2017–2022
Commerce & Finance Backend Platforms
Reliable order, inventory, settlement, and financial-recognition services
My scopeBackend engineer responsible for service design and delivery
Challenge
Commerce and finance teams needed dependable integrations across internal systems and major marketplaces, while manual office workflows created operational cost and reconciliation risk.
What I delivered
Designed backend systems for inventory, orders, distribution, and marketplace settlement across JD.com and Alibaba.
Built financial recognition, settlement, and analytics services that replaced manual office workflows.
Improved scalability and integration using asynchronous processing, event streams, GraphQL, TDD, and contract testing.
AutomatedOrder ingestion and marketplace settlement
Zero-to-scale online examination platform for enterprise customers
My scopeArchitecture, full-stack development, DevOps, and engineering coordination
Challenge
Build a production-ready online examination product from the ground up while supporting diverse enterprise use cases, reliable delivery, and rapid customer growth.
What I delivered
Led system architecture and hands-on frontend and backend development from the initial product build.
Owned deployment, operations, maintenance, and engineering coordination as the platform scaled.
Supported enterprise training, recruitment, certification, practice, and knowledge-assessment workflows.
0 → 10,000+Enterprise customers served
End to endProduct, engineering, and production ownership
Python
Flask
JavaScript
MySQL
MongoDB
Linux
What I am looking for
Senior platform and backend engineering roles with real operational impact.
I am open to international teams and relocation, particularly where vehicle software delivery,
fleet platforms, developer infrastructure, or dependable backend systems are central to the role.
