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Peter Xiong
Personal Summary
- 6 years of work experience as an algorithm engineer, proficient in algorithm technologies such as deep learning and reinforcement learning, with rich practical experience in fields like recommendation algorithms and intelligent scheduling.
- Possess excellent project management and team leadership skills, successfully led multiple major algorithm projects, creating significant value for the company.
- Good at learning and innovation, keeping up with industry technology frontiers, and able to quickly apply new technologies to actual business.
13800000000
zhangwei@example.com
Shanghai
30
Male
Algorithm Engineer
Employed
Shanghai
30k - 40kEducation Experience
Shanghai Jiao Tong University
985211Double First-Class
Computer Science and Technology
Master
2015.092018.06
- Systematically studied professional courses such as computer algorithms, data structures, and machine learning, with excellent grades, GPA 3.8 (out of 4.0).
- Participated in multiple academic research projects and published the paper "Optimized Algorithm for Image Recognition Based on Deep Learning", demonstrating a solid theoretical foundation and research capabilities.
Work Experience
ByteDance
Internet GiantTechnology-Driven
Algorithm R&D Department
Algorithm Engineer
Algorithm R&DDeep LearningRecommendation Algorithm
2018.072021.12
Shanghai
- Responsible for the R&D and optimization of the company's core algorithms, led the upgrade project of the recommendation algorithm. By introducing deep learning models, the recommendation accuracy was increased by 20%, and the user click-through rate was increased by 15%, bringing significant business growth to the company.
- Closely collaborated with cross-departmental teams, including product, development, and data teams, to jointly formulate algorithm strategies and promote the implementation of product functions.
- Established an algorithm evaluation system, regularly monitored and analyzed algorithm performance, and promptly identified problems and proposed improvement plans.
- Guided and trained junior algorithm engineers to improve the overall technical level of the team.
Meituan
Internet Leading EnterpriseInnovation-Driven
Algorithm Center
Senior Algorithm Engineer
Reinforcement LearningFederated LearningIntelligent Scheduling
2022.012024.06
Shanghai
- Led the team to undertake the algorithm breakthrough tasks of the company's key projects. Successfully developed an intelligent scheduling algorithm based on reinforcement learning and applied it to the logistics distribution system, increasing distribution efficiency by 30% and reducing costs by 10%.
- Tracked industry frontier technologies, introduced federated learning algorithms, and solved the contradiction between data privacy protection and algorithm training effects, providing technical support for the company to expand new business scenarios.
- Responsible for the technical planning and talent cultivation of the algorithm team, established a technical sharing mechanism, and promoted the technical exchange and growth of team members.
Project Experience
E-commerce Platform Recommendation Algorithm Optimization
Algorithm Lead
ByteDance
2019.032019.12
- Project Background: Conducted a recommendation algorithm optimization project to address the low accuracy of product recommendations on the e-commerce platform.
- Project Content: Introduced deep neural network models, trained with user behavior data and product feature data, and optimized recall, ranking, and other links of the recommendation algorithm.
- Project Results: Recommendation accuracy increased by 25%, user purchase conversion rate increased by 18%, and the platform's sales increased by 10% within three months after the project went live.
Autonomous Driving Decision-Making Algorithm Development
Core Algorithm Engineer
Meituan
2023.012024.05
- Project Background: Developed a machine learning-based decision-making algorithm to improve the decision-making efficiency and safety of the autonomous driving system.
- Project Content: Collected a large amount of autonomous driving scenario data, built a decision-making model, and continuously optimized the algorithm through simulation tests and actual road tests.
- Project Results: The response time of the decision-making algorithm was reduced by 40%, and the decision-making accuracy in complex road conditions reached over 95%, laying the foundation for the commercial application of autonomous driving technology.
Honor Awards
2020 Company Technology Innovation Award
2023 Industry Algorithm Competition First Prize
Other Information
Open-Source Algorithm Contributions:
- Actively participated in the open-source community and contributed multiple algorithm code repositories, such as the implementation code of recommendation algorithms based on PyTorch, which received 500+ stars on GitHub, promoting the exchange and sharing of algorithm technologies.
