Shihao Zhang

Age: 33. Master of Mechanical Engineering with 7+ years in equipment management & intelligent maintenance at a world-renowned enterprise. Proficient in integrating AI with industrial equipment management; led intelligent diagnosis/digital twin projects, cutting annual costs by nearly 4 million yuan via intelligent operation and maintenance.

Solid equipment engineering foundation with experience in full-cycle equipment management including new equipment introduction, production line planning/relocation, TPM implementation, spare parts management, fault diagnosis and root cause analysis. Strong leadership and cross-functional coordination abilities. Committed to continuous improvement and optimizing operation and maintenance solutions.

Fluent in English with ability to work effectively in cross-cultural environments.

Intelligent Maintenance Engineer at Bosch Powertrain Systems Co., Ltd. (2024-07 – Present)

Responsible for three core projects: Smart Diagnosis, MAZE Prediction (AI Intelligent Inventory Prediction) and Digital Twin. Took the lead in sorting out business requirements, controlling project progress and quality, and promoting the in-depth integration of AI technology and factory equipment management.

• Smart Diagnosis - LLM Chatbot: Led the development of an LLM-integrated Maintenance Chatbot, utilizing RAG and few-shot prompting to optimize technical support accuracy for front-line technicians.
• Building Maintenance Knowledge Base: Systematically sorted out and imported maintenance data and technical documents of 1,800 pieces of equipment (machining equipment, grinding equipment, assembly equipment, etc.), built and continuously updated an exclusive equipment knowledge base to provide data support for intelligent operation and maintenance.
• Improvement of Diagnosis Efficiency: Through multi-rounds optimization, greatly improved equipment maintenance efficiency, reduced operation and maintenance costs, and saved about 4 million yuan annually.
• Build Prediction Model: Built the MAZE (Spare part) prediction model, connected with the AI development team, gather relevant data, clarified the core work of model application and demand implementation, committing the progress and ensured the model was in-line with actual business object.
• Standardization of Spare Parts Management: Controlled the accuracy of spare parts demand prediction, sorted out the logic of spare parts supply, clarified the distinction standard between internal maintenance and external procurement, planned supply nodes according to the supply cycle, and standardized the whole-process management of spare parts.
• Optimization of Spare Parts Inventory: Through project implementation, realized accurate prediction of spare parts demand, optimized inventory turnover efficiency, and saved more than 2 million yuan in inventory costs.
• Digital Twin: As a core development member of the Digital Twin for HDP and MEA production lines, participated in digital mapping projects, responsible for the data processing and visualization, built early warning system, enhanced operational efficiency and streamlined maintenance workflows.
• Fault Handling: Handled AI model output deviation and technical consultation response, ensured the accuracy of AI responses through model optimization and closed-loop rectification of problems, thus ensured effective solution pushed to front-line technicians.
• Awards: Rated as Excellent Employee of the company in 2024 and 2025; Nominated for TP-Pre (Talent Development Reserve).

Maintenance Engineer at Bosch Powertrain Systems Co., Ltd. (2021-03 – 2024-07)

• Preventive Maintenance Management: Based on equipment operation data and maintenance experience, optimized the preventive maintenance plan for key components to reduce unplanned downtime; Responsible for defining and tracking key spare parts to ensure sufficient stock and reduce the risk of production suspension due to lack of parts.
• TPM Activities: Led the optimization of equipment maintenance for the HDP (High-Pressure Pump) production line, promoted the implementation of the TPM (Total Productive Maintenance) system and carried out systematic improvement using the PDCA cycle, reducing the production line technical loss rate from 14% to below 7% and effectively improving the Overall Equipment Efficiency (OEE).
• Continuous Equipment Improvement: Carried out CIP (Continuous Improvement Project) projects, worked around the top 10 problems in the production machines, led and participated in more than 30 improvement projects in total. Through low-cost, high-frequency, macro machine modifications, continuously improved the stability of equipment operation and reduced technical loss and downtime.
• Sensor Waterproof Modification: Carried out integrated waterproof transformation on sensors and wire harness connectors that are vulnerable in high-pressure water environments, reducing the annual failure rate by about 1.5%.
• Maintenance Business Mode Optimization: Optimized the annual maintenance mode of precision measurement equipment, signed a package service contract with suppliers, and achieved cost reduction and efficiency improvement (response efficiency increased by 20%-30%).
• Energy Saving and Consumption Reduction: Led the energy-saving transformation of the cleaning machine heat pump system, optimized the heat recovery logic and operation mode, and achieved annual electricity saving of about 120 MWH.
• Investment Support: Deeply participated in the AOI (Automatic Optical Inspection) equipment introduction project, carried out automatic transformation for the blanking section of the original production line, realized full automatic connection between old and new equipment, and replaced the original manual operation links.
• Production Line Relocation: Led the planning, installation and positioning, precision calibration and acceptance of precision measurement equipment relocation, ensuring that the equipment met the process precision requirements after relocation; Simultaneously responsible for the maintenance, function verification, stability testing and final release of key equipment such as high-pressure cleaning after relocation, ensuring efficient resumption and stable operation of the production line.
• On-site Safety Management: Took "zero work-related injuries" as the core KPI, carried out safety training and supervision management for on-site technical service providers and internal technicians, standardized the construction approval process, supervised the implementation of dangerous operation permits, ensured that on-site personnel operations met safety standards, and guaranteed the safety and compliance of on-site operations.
• Maintenance Standardization: Summarized maintenance and fault handling experience, compiled and updated key equipment maintenance operation guidelines, standard fault codes and other documents, and promoted the standardization and normalization of equipment maintenance work.

Equipment Engineer at Jinko Solar Co., Ltd. (2018-06 – 2020-09)

• Equipment Installation and Commissioning: Responsible for the receipt of the first batch of photovoltaic equipment in the factory, followed up the entire process of installation, commissioning and trial operation, solved many installation technical problems, and effectively shortened the installation period; Optimized the commissioning plan during the equipment start-up phase, reduced production defect rate, and ensured the smooth commissioning of 3 new production lines.
• Daily Maintenance: Led the compilation of equipment-related SOP documents, completed the establishment of equipment accounts and data entry, led a 3-person team, implemented special technical training, coordinated the later maintenance of equipment such as automatic stacking and welding integrated machines, completed cleaning, lubrication, adjustment, parts replacement and other work, and ensured the stable operation of equipment.
• Fault Response and Handling: Quickly responded to equipment faults and conducted diagnostic analysis, completed motor calibration, robotic arm positioning, and fine-tuning of mechanical structures and sensor positions; Based on PLC logic and I/O signal diagrams, quickly identified and solved faults such as welding abnormalities, chip jamming, servo alarms and sensor false triggers.
• Facility Engineering Operation and Maintenance: As a member of the project team stationed in the United States, undertook Chinese-English technical translation and cross-party communication, coordinated the implementation of equipment-related personnel and supporting guarantee matters, and collaborated in the operation and maintenance management of factory energy facilities, including the operation and maintenance and on-site layout of drainage systems, air compressors, boilers, cooling towers and other utility projects.

Master of Mechanical Engineering in Mechanical Engineering – University of Central Florida (2016-01 – 2018-05)

Bachelor of Mechanical Engineering in Mechanical Engineering – Central Michigan University (2012-08 – 2015-12)