Xiaoyu Kang Senior Technical Product Leader
Autonomous Systems · SAE Level 3 · Generative AI · Agentic AI
Technical Product Leader with 10+ years of experience building autonomous and safety-critical systems from algorithm development through product ownership and production-oriented deployment. Currently Chief Product Owner & Technical Lead for an ADAS Emergency Stop product at Robert Bosch GmbH, driving product definition, roadmap, cross-functional execution and vehicle implementation. Hands-on with Generative AI, LLMs and agentic workflows, with a strong interest in turning complex AI capabilities into reliable, user-oriented products.
Why This Profile Fits Gemini Product Management
Transferring rigorous, safety-critical 0→1 autonomous decision systems into next-generation Agentic AI and Frontier LLM product leadership.
0→1 Product Leadership
Led an ADAS Emergency Stop capability from concept through working vehicle implementation; first working EST Base delivered in ~6 months with a 4-person initial team. Strong evidence of taking ambiguous problem spaces and delivering tangible, validated releases.
Deep Technical Fluency
Hands-on depth in trajectory & behavior planning, vehicle motion control, ACC, autonomous lane change (ALC), safety-critical ADAS and production-oriented platform development. Capable of communicating directly with world-class research & algorithm engineers.
AI-Native & Agentic Mindset
Hands-on use and prototyping with multiple frontier LLMs and agent workflows, including tool use, structured outputs (JSON schema), orchestration, multi-agent collaboration and AI-assisted development. Turning raw model intelligence into structured user workflows.
Trust, Safety & Evaluation
Safety-critical product experience translates into explicit system boundaries, failure mode handling, validation criteria, release gates and reliability-oriented thinking. Crucial for enterprise and high-stakes agentic products where hallucination or failure is not an option.
The Autonomous Systems ➔ Agentic AI Bridge
Why 10+ years in Autonomous Driving maps directly to building trustworthy, multi-step Agentic AI products.
Professional Experience (10+ Years)
From algorithm development to Chief Product Ownership across safety-critical production platforms.
Chief Product Owner & Technical Lead
- Own product direction and end-to-end development of the Emergency Stop (EST) feature within an ADAS platform, from concept and requirements through implementation and vehicle validation.
- Built and led the initial EST development team; with 4 core team members, delivered the first working EST Base implementation in approximately 6 months.
- Translate safety, system and customer needs into product scope, priorities, requirements, technical decisions and release objectives across multiple stakeholders.
- Drive 0-to-1 development in a safety-critical environment, balancing user experience, technical feasibility, platform constraints, system dependencies and release readiness.
- Coordinate cross-functional engineering activities spanning algorithms, software, vehicle integration and validation, while maintaining a coherent product roadmap.
- Progressively expanded the EST product concept beyond the Base capability toward Enhanced and Plus variants for different operational and customer needs.
Function Owner & Algorithm Developer
- Developed trajectory and behavior-planning algorithms for Highway Pilot, a SAE Level 3 automated-driving feature.
- Owned the vehicle motion-control function within a platform project, connecting technical requirements, algorithm behavior and system integration.
- Worked across complex autonomous-driving dependencies with a strong focus on robust system behavior and production-oriented development.
Feature Owner
- Feature Owner for Adaptive Cruise Control (ACC) in customer projects, driving feature definition and cross-functional execution.
- Feature Owner for Autonomous Lane Change (ALC), coordinating technical development and customer-project requirements.
Internship / Research
- Research on optimal trajectories for highly automated driving; academic publication related to optimal trajectory generation.
Generative AI & Agentic AI Focus
Pragmatic, execution-oriented application of frontier models and agent orchestration.
Hands-on Frontier AI & Agent Workflows
Hands-on with multiple frontier AI/LLM models and agent-based workflows, including practical experimentation with model capabilities and AI-assisted development. Experience thinking in terms of agent workflows, tool use, structured outputs, orchestration and turning model capabilities into usable product flows.
Trustworthy AI Product Design
Strong interest in trustworthy AI product design: grounding, evaluation, failure handling, measurable quality criteria and clear boundaries between recommendation and action. Transferable product perspective from autonomous systems: complex inputs → reasoning → decision → action, with explicit reliability and safety constraints.
Selected Product & Technical Strengths
Categorized overview of strategic, technical, and validation domain competencies.
Product Management
AI / LLM & Agentic AI
Autonomous Systems
Validation & Reliability
Technical & Tools
Languages
Education
Master and Bachelor in Control Engineering & Vehicle Technology
University of Stuttgart
Bachelor Studies
Wuhan University
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