Passionate about designing innovative AI solutions and bridging the gap between technology and business needs. With extensive experience in enterprise AI architecture and strategic implementation across various industries.
Get to know more about my background and journey
I'm an experienced AI Solution Architect with over 8 years of professional experience in enterprise AI architecture, strategic consulting, and solution design. My passion lies in translating complex business requirements into scalable and effective AI solutions that drive innovation and growth.
Throughout my career in AI startup unicorn, consulting firm and top tier internet company, I've led the design and implementation of AI solutions across diverse industries including healthcare, retail, and manufacturing. I specialize in designing architectures that are technically robust, business-aligned, and operationally feasible.
B.S in Mechanical Engineering
Shanghai Jiao Tong University
M.S in Data Analytics and Statistics
Washington University in St. Louis
Professional journey and achievements
Bytedance-Volcano Engine
Avanade
Synyi.AI
Showcasing my work and innovations
• Investigated business need across all business units and completed overall AI implementation planning scheme. For high-priority projects, cooperated with clients and ecosystem partners to finish scenario design, proof of concept, application development and follow-up operation planning.
• Completed knowledge governance, solution design and optimization for selected scenarios such as customer service Q&A, contract review, drawing inspection and safety inspection. Proactively promoted the implementation and adoption of various Volcano Engine's AI products to support the continuous iterative operation of the project.
• Delivered LLM skill training and provided instruction and review in AI hackathon, which enhances enterprises' motivation for AI transformation.
• Based on Volcano Engine's advantages in cloud computing and large language model services, designed an AI-native hospital solution for the new campus to support the full-process optimization in clinical practice, scientific research and patient's health management.
• Sorted out hospital diagnosis and treatment processes, reviewed the integration of AI in key scenarios such as medical records interpretation, medical orders writing and doctor assistants, and cooperated with the product development and iteration of the self-developed healthcare information system.
• Established a mechanism for the aggregation and utilization of clinical dataset to support AI application evaluation and large model fine-tunning.
• Conducted over 30 interview surveys with executives and business department directors to deeply understand business pain points, sorted out over 100 potential AI scenarios, and planned implementation priorities based on scenario evaluation.
• Assessed the client's AI maturity level through interviews with business departments and external benchmark enterprises, and designed an AI transformation blueprint and implementation plan in alignment with the enterprise's business strategic planning.
• Designed the solution of key information extraction from industry-related documents to support the product of Market intelligence platform by combining model fine-tuning, RAG, time series prediction, which provide data-driven insights for decision-makers form marketing and strategy teams.
• Addressed the issues of delayed payments from downstream clients, developed a machine learning-based overdue payment risk prediction system, improving the work efficiency of the accounts receivable collection process for the finance department.