Canada
AI & Data Science Leader with 8+ years of experience in R&D and large-scale system deployment. Led a $1.9B smart city platform serving 6M+ users, integrating real-time urban data to optimize traffic flow and emergency response. Developed a sub-meter visual localization system for autonomous vehicles (Renault Zoe) using HD maps and SLAM. Proven ability to bridge cutting-edge algorithms with business and government outcomes. Seeking Senior Applied Scientist or Solutions Architect roles in autonomous driving or smart city sectors.
Led curriculum development and delivery of Digital Transformation courses for 200+ MBA and MPA executives (mid-to-senior level managers and government officials), bridging AI/data technologies with strategic decision-making in business and public sectors. Directed research initiatives and supervised graduate student projects in Computer Vision and Big Data, fostering a collaborative lab environment and mentoring 10+ master’s students to successful thesis completion. Designed case-based learning programs using real-world smart city and enterprise data, enabling executives to lead data-driven transformation initiatives within their organizations. Received >4.7/5 average teaching evaluation. Advised 2 local government agencies on AI adoption strategies and data governance frameworks, translating academic insights into actionable public-sector roadmaps.
Led the $1.9B “City Brain” smart city program serving 6M+ users, integrating real‑time data from transportation, public safety, and energy systems. - Managed a 15‑person cross-functional team (data engineers, product managers, urban planners) and coordinated with 5+ government agencies to align technical roadmap with city KPIs. - Drove end‑to‑end program delivery from requirements to deployment, achieving an estimated 18% reduction in emergency response time and 12% improvement in traffic flow during peak hours. - Owned stakeholder relationships with Hangzhou municipal government, Alibaba Cloud, and local tech vendors; negotiated SLAs and resource allocation. - Established data governance and quality frameworks that enabled real‑time decision support for traffic, environment, and emergency management.
Co‑founded a cross‑border matchmaking platform connecting Chinese and French startups, investors, and e‑commerce players. - Led product strategy, fundraising, and business development; managed a remote team of 5 (product, dev, marketing). - Secured first €300k in potential deal flow within 8 months, serving 50+ startups and 10+ investment firms. - Pivoted business model based on user data, increasing platform engagement by 25.6% month‑over‑month.
Conducted industry‑embedded doctoral research with the Renault Zoe autonomous vehicle program. - Coordinated with 3 R&D teams (perception, mapping, integration) to deliver a sub‑meter visual localization module using HD maps and SLAM. - Managed technical milestones for integration into the vehicle’s autonomy stack; presented progress quarterly to stakeholders from Renault and French research institutes. - Contributed to technology transfer from research to production‑ready algorithms.