Chris Richardson is a world-renowned software architecture guru, a recognized technology leader in cloud native and microservices, and the founder of CloudFoundry and Eventuate. His research interests include software architecture design, cloud native, microservices, distributed data management, domain-driven design, and continuous delivery. He provides technical consulting to many of the world's leading companies, helping organizations improve agility and competitiveness by improving their software architecture. He is also a frequent speaker at international conferences, and his representative works are Microservice Patterns and POJOs in Action.

Daniel Jackson is the Associate Director of the MIT Computing and AI Lab (CSAIL) and a Professor of Computer Science. He has received the ACM SIGSOFT Impact Award and the ACM SIGSOFT Distinguished Research Award for his research in software, and has been named an ACM Fellow. He is the principal designer of the Alloy modeling language, has served as chair of the Software Reliability Research Program at the National Academy of Sciences, and has worked with NASA on software projects such as air traffic control, proton therapy at Massachusetts General Hospital, and Toyota self-driving cars. He is represented by Software Abstraction and Elements of Software Design.

Lin Yonghua, Vice President and Chief Engineer of Beijing Zhiyuan Artificial Intelligence Research Institute, is in charge of Big Model Research Center, Artificial Intelligence System and Basic Software Research, Industrial Ecology Cooperation, etc. She is a member of IEEE Women Engineers Asia-Pacific Leadership Group, and a founder of IEEE Women Engineers Association Beijing Chapter. She was the director of IBM China Research Institute, and also an IBM Global Distinguished Engineer, leading the global innovation of AI systems within IBM. She has nearly 20 years of experience in system architecture, cloud computing, AI systems, and computer vision. I have more than 50 global patents and have won several ACM/IEEE best paper awards. Recognized as Forbes China's 50 Leading Women in Technology 2019.

Boolan, Chief Expert and Chairman of the Global Machine Learning Technology Conference, has extensive experience and in-depth research in artificial intelligence, software architecture, and product innovation. In recent years, he has focused on researching artificial intelligence methods primarily based on large language models, and his related studies and consultations have garnered strong attention from the industry. He has been repeatedly awarded industry honors such as Microsoft Most Valuable Professional (MVP) and Tencent Cloud Most Valuable Expert (TVP). With nearly twenty years of technical and product experience, he provides high-end product innovation and technology strategy consulting services to renowned brands, including numerous Fortune 500 companies.

Chi Wang is a principal researcher in Microsoft Research. Chi is the creator of AutoGen, a popular and rapidly growing open-source framework for agentic AI, with multiple awards such as best paper of ICLR’24 LLM Agents Workshop, Open100, and TheSequence’s pick of 5 favorite AI papers in 2023, covered by Forbes, The Economist, WIRED etc. Chi is the creator of FLAML, a fast open-source library for AutoML & tuning used widely inside and outside Microsoft. Chi has a PhD in Computer Science from University of Illinois at Urbana-Champaign, and a BS in Computer Science from Tsinghua University.

Xin Chen, Product Technical Leader of AliCloud, TONGYI Lingma, is committed to research and exploration in the direction of enterprise R&D efficiency, product quality, and DevOps. He joined Ali in 2011, and has led the big data testing team, testing tool R&D team, and R&D platform team. He has deep insights into R&D collaboration, testing, delivery, operation and maintenance. Currently, he is leading the team towards cloud native, extreme efficiency, intelligence and other areas of continuous evolution.

Tencent senior researcher, Tencent big data AI algorithm leader, has won the WWW best student paper award, ACM Beijing excellent doctoral dissertation award and other honors, published more than 30 CCF-A papers in NeurIPS, ICML, SIGMOD, VLDB, SIGKDD, WWW and other international top academic conferences, and served as a reviewer for several international top conferences, research interests His research interests include decision-making algorithms, large model technology, AutoML, AI for Systems, and he is currently responsible for the research and development of basic algorithms, frameworks, and applications for Tencent's big data decision-making AI and generative AI. Translated with DeepL.com (free version)

Senior Researcher at Microsoft Asia Internet Engineering Institute.He joined Microsoft after graduation in 2017, and has held several research positions in Microsoft Research Asia and Microsoft Asia Internet Engineering Institute. His research interests mainly involve the challenges of data analytics and machine learning algorithms in specific applications, especially the practical implementation in cloud service scenarios, such as anomaly detection, intelligent diagnosis, log analysis, etc. He has published several papers in the top conferences in software engineering and systems field USENIX ATC, ICSE, FSE, EuroSys, etc. Currently, he is also exploring the enhancement of cognitive reasoning ability of big models, and the efficient application of big models in vertical industrial scenarios.

Baidu senior R&D engineer, Comate product development leader. 9 years of experience in Baidu has served as code scanning, iCoding cloud IDE, code search and other directions of the technical leader, currently responsible for Comate intelligent code recommendation product development, is committed to build code based on the big model and infrastructure of the code intelligent tools to improve the quality of the code and the efficiency of engineers to develop.

Xiaofei Sun, Cloud Native Infra Lead at Little Red Book, has 8+ years of development and design experience in the cloud native space, and is a community member of Kubernetes and Volcano. He was responsible for container scheduling and infrastructure related work in Meituan and Racer. Currently, he is responsible for cloud native infrastructure construction related work at Little Red Book. He is mainly responsible for the internal hybrid cloud construction of Little Red Book, and is committed to building a unified, stable and reliable cloud native infrastructure platform.

With more than 14 years of rich experience in core system building in Jingdong Group, he is a senior expert in Jingdong DevOps field. He has very excellent technical insight and project management skills in system construction of financial, functional, and big data systems. As the team leader of Jingdong DevOps engineering domain, he has not only led the integration and upgrade of the engineering domain system, but also successfully transformed these improvements into best practices within the organization, which has greatly improved Jingdong's engineering efficiency and product quality.

Yanjie Gao is a senior researcher at Microsoft Research Asia. His research interests include deep learning tools and platforms, big data systems, and so on. He has published several papers in top software engineering and system conferences, such as ICSE, ESEC/FSE, SoCC, CLUSTER, etc. He has also published several technical books and contributed to open source systems and educational communities, such as OpenPAI and AI-System.

Responsible for Tencent Cloud Developer AI Code Assistant product planning, design and operation, more than ten years of collaboration SaaS, SAP cloud platform, SuccessFactors HCM, Sybase database, PowerDesigner and other products, development manager, has a wealth of software architecture design, product management and project engineering management, team agility, AI R & D efficiency, etc. He has rich experience in software architecture design, product management and project engineering management, team agile, AI R&D efficiency, etc.

Graduated from School of Computer Science, National University of Defense Technology, he has been engaged in AI inference, quantization, and training optimization. He has worked and interned at Intel, Tucson Future, and is currently working on end-side AI inference and optimization at Meituan. In the postgraduate stage, he mainly does research related to distributed deep learning system, and has in-depth understanding and development of low-bit communication, Parameter Server, Horovod, MXNet and other frameworks; after work, he mainly engages in AI inference deployment optimization related content, including: 1. Inference engine development: model quantization (PTQ, QAT), graph optimization, operator optimization, etc.; 2. Deployment Framework development: architecture design, tool development, service construction, etc.

360 Intelligent Cloud Infrastructure Department head, screen name Yu Xia, PikiwiDB (Pika) project leader, apache/dubbo-go project leader, former Ant Group seata open source leader. 2022 Open Atom Global Open Source Summit "Code Contribution Star", 2022 annual He was awarded "OSCAR Peak Open Source Personality" in 2022 by ICT, "Open Source Pioneer in 2021" by Arii, and "Open Source Product of the Year" by Science and Innovation China in 2021 for his work apache/dubbo-go. He has been working in the research and development of server-side infrastructure for four years, covering service governance, messaging middleware, SQL data middleware, NoSQL system, real-time monitoring and alerting, Service Mesh, and other infrastructure orientations. He is passionate about open source, and has participated in and improved Redis/Pika/Muduo/dubbo/dubbo-go/Sentinel-golang/Seata-golang/etcd and other well-known projects.

Shaofeng Shi, Apache Member, Apache Incubator PMC, Mentor of Apache Gluten, HoraeDB. Over 18 years of experience in cloud computing, big data and open source projects.

Founder & CEO of PolarDB, former general manager/researcher of AliCloud database, known as "Ming Song", founder of PolarDB, a cloud native database. He is the founder of PolarDB, a cloud-native database. He is an executive committee member of the Database Committee of the Chinese Computer Society, an executive committee member of the Open Source Committee of the Chinese Computer Society, and won the first prize of the Science and Technology Progress Award of the Chinese Institute of Electronics in 2020. He has published more than 20 papers in the top international academic conferences on database and storage, such as SIGMOD, VLDB, ICDE, FAST, and so on.

Zhou Xinyu, co-founder & CTO of AutoMQ, is a member of Apache Software Foundation, co-founder of Apache RocketMQ & PMC member. He has nearly a decade of experience in cloud computing, and has gone through the complete cloud journey of AliCloud middleware, and is the advocate of the concept of cloud-native cloud.

A programmer-born idealist, guided by the spirit of open source, dedicated to transforming dreams into reality. As the founder and CTO of Tributary Technology (API7.ai), he not only promotes the Apache APISIX project, but also spreads the word to explore its application and best practices in different industries through the book “Apache APISIX in Action”. Vision: To enable every programmer to be an inventor, not just a code mover.

Founder & CEO of NineData, senior expert in the field of database and cloud computing, big model technology practitioner, served as the former general manager of AliCloud's database product management and solutions department, core member of AliCloud's product decision-making committee and technical architecture group, and helped AliCloud to get the No. 1 in China's database market and enter the position of Gartner's global database leader, and led the team in the research and development of the He led the team to develop a number of industry-first cloud-native products such as data management, data transfer, and database AI autonomic services.

He is one of the first batch of creators and practitioners of commercialized APM tools in China, currently focusing on the product development and commercial operation of the intelligent observability platform, with a deep understanding and insight into the APM and observability industry. He has been serving head clients in the financial, operator and high-tech industries for many years, providing them with professional technical solutions and product services.

CTO, APP Division, Tongtou Travel Group - Senior technologist and domain-driven expert - Invited lecturer of Global Software Engineering Technology Conference, etc. - A builder of new e-commerce business center in the travel industry. - During his career, he has led the team to implement several complex enterprise-level application systems in industries such as healthcare, transportation, and tourism. In these projects, a series of business architectures, design patterns and best practices were used to help the team successfully deliver high-quality software products.

AliCloud multimodal database Lindorm product technical leader, Apache HBase PMC, has more than ten years of practical experience in the field of databases and big data, participated in the development of HBase, HDFS, ElasticSearch, Spark and other systems, and is currently committed to the creation of the next generation of multimodal hyper-converged databases.

Mr. Wang Yapu, Observable Technology Leader of Little Red Book. He is currently working in the Observable Technology Group of the Basic Technology Department of Little Red Book, and is mainly responsible for the construction of the observable technology system of Little Red Book, combining the current situation of cloud native architecture within the company, promoting the large-scale landing of observable technology in the company, providing a one-stop observable platform for the business, and applying it deeply in the construction of the company's stability project to improve the efficiency of fault discovery, response, and localization. He used to work in Meituan and Ant Group, focusing on observable technology, high-performance component enthusiast, and technical columnist of “Netty Core Principle Analysis and RPC Practice”.

Wei Jiang, PhD from Institute of Computing, Chinese Academy of Sciences, and visiting scholar at Penn State University, has published several articles and patents. He is now in charge of Ant's R&D performance algorithm, and is mainly engaged in the research and development of CodeFuse, a big model of Bering code, and its business landing, and is committed to upgrading and transforming the software R&D paradigm through the big model.

Profile: Graduated from Columbia University, now working in AliCloud Group, engaged in long-term research and practice in the field of software engineering intelligence, including code generation, code search, defect localization, repair recommendation, test generation, etc., in ICSE, FSE Industry track has several papers published. He is now focusing on the plug-in side, service side development and model data processing and effect tuning of Tongyi Spirit Code products, and is committed to improving the quality and efficiency for the majority of developers to improve the sense of well-being of research and development.

Zhengning Liu received his Ph.D. degree from Tsinghua University, where he was engaged in the research and development of large model systems, deep learning frameworks, 3D computer vision and computer graphics. He has published articles in ACM TOG, IEEE TVCG, CVMJ, ECCV and other journals. Dr. Liu Zhengning is the technical director of Beijing Non-Ten Technology, launched Fitten Code AI programming assistant, and is the core developer of Jittor, a domestic deep learning framework, and is now dedicated to AI services and applications, as well as deep learning framework open source.

Xinglong Wang is a senior technical expert of Ant and the person in charge of OpenSumi, an open source IDE framework. He has participated in Ant's front-end middleware, engineering platform construction and Ant Cloud R&D construction from 0 to 1. He is currently focusing on the convergence technology of AI and IDE.

Introduction: Currently in the AliCloud observable team, as a senior research and development engineer, AliCloud Prometheus product core research and development engineers, in the observable field, especially the indicator scenarios have a wealth of experience, for large-scale cluster indicator collection and processing has more production practice accumulation, collection probe performance tuning and stability construction has been practiced on the ground. In the observable field of metrics scenarios, he has put forward effective technical solutions for typical problems and large-scale cluster acquisition requirements, and has practiced on the ground in Aliyun ASI large-scale cluster acquisition scenarios.

Dongyang Zheng, Senior Engineer, Apache Committer, rust-analyzer member & rust-lang member, focuses on compiler design and build system, IDE and other compilation toolchain co-development.

Community senior open source participants, EggJS, CNPM core developers, has served as a few major manufacturers of Node.js Infra responsible for the current byte MarsCode team is responsible for cloud services, workspace and other capabilities of the construction, is committed to building a technical people love to use the efficient + intelligent Cloud IDE.

Kaiwang Chen, Tencent Cloud Database Expert Engineer, responsible for the SQL engine development of TDSQL-C and TencentDB for MySQL. He is responsible for the development of SQL engine of TDSQL-C and TencentDB for MySQL. He has been focusing on MySQL kernel SQL governance and building complex query capability for a long time.

With many years of experience in Internet industry and business architecture design, currently focusing on AliCloud observable application observable field, mainly engaged in observable product ARMS and EagleEye development, design and evangelism, with rich observable field technology architecture and practical experience, successfully promote ARMS application performance monitoring and application security (RASP) convergence solution landing, attention to the latest developments in APM and OpenTelemetry open source community ecosystem. He has successfully promoted ARMS application performance monitoring and application security (RASP) convergence solutions, and is concerned about the latest development of APM and OpenTelemetry open source community ecosystem. Currently, he is focusing on the observable demand scenarios in the field of large language modeling, exploring the full-stack observable capability solutions and best practices to support the LLM application layer to the underlying infrastructure.

Tencent expert engineer, responsible for the technical exploration and landing work of cloud native technology in the field of big data and AI, currently focusing on the use of the underlying runtime technology to improve the stability and reduce the cost of big data and AI business.

Ancheng Wu , CTO of Beijing Diffractive Digital Technology, a technical expert with more than 20 years of R&D experience, has authored "Neural Network and Deep Learning", "Deep Learning Algorithms in Practice", "The Secret of Trading - Making the First Bucket of Money with Algorithms" and other books. He has deep technical accumulation and wide technical stack in the fields of artificial intelligence, big data and deep learning; he has different application system landing experience in the algorithmic direction of text, speech, recommendation and image; he owns 11 patents in algorithmic category; he has won the first place in reading comprehension competition Squad2 single model; in the field of big model, he has led a series of important projects, including ChatGPT-like big language base model training and optimization, as well as applications in finance, insurance, cultural creation and Chinese medicine, etc. He has led the team to complete the training of language models from 1.3B to 13B, and carried out the fine-tuning of business data from 30B to 63B large models.

Graduated from Alipay in 2011, worked at Alipay for more than 3 years, worked at Baidu in 2014, and joined DDT in 2015 for more than 5 years, responsible for the driver side of DDT. 2021 joined Zhihu as the head of Zhihu's mobile platform team, responsible for Zhihu's APP's basic SDK, architecture, performance&stability, performance, the middle and back-end system front-end architecture, and componentization. He has more than 10 years of working experience in mobile internet and more than 6 years of management experience.

360 front-end engineering direction of the technical leader, mainly responsible for 360 front-end engineering infrastructure related work; leading the development and construction of one-stop PaaS platform and provide from design, development to APM all-link standardized collaboration process and data monitoring system, has accumulated a wealth of experience in engineering construction and promotion of the implementation of the ground; is currently focusing on: AI Code, middle and back-end R & D efficiency, design collaboration field.

Founding engineer of tetrate, a US servicemesh service provider. Former Huawei software development cloud technology expert, with rich experience in designing, developing and implementing cloud-native products. He has in-depth knowledge of distributed database, container scheduling, microservices, ServicMesh and other technologies. Currently, he is a core contributor to Apache ShardingSphere and Apache SkyWalking, and is involved in the commercialization of these open source projects in the software development cloud. Former Dangdang system architect, open source expert, participated in Elastic-Job and other well-known open source projects. He has rich experience in open source project management, promotion and community operation. He has been actively involved in technology sharing and has shared in many technology conferences, including DTCC, ArchSummit, Top100, Oracle Carnival, etc. He has published articles in many media, such as DTCC, ArchSummit, Top100, Oracle Carnival, etc.. Published articles in several media, such as InfoQ, OSChina, etc. Publications: “Apache SkyWalking in practice”.

B.S. in Computer Science and Technology from Xi'an Jiaotong University and M.S. in Computer Science and Technology from Peking University. He has worked in Morgan Stanley, Baidu, CITIC Securities and other companies. Currently, he is the senior manager of eBay's payment and risk control department, and the person in charge of eBay's real-time risk control feature platform development. He has many years of practical experience in payment, clearing and settlement, and big data related to risk control.

Tang Jianghua, currently serves as the architect of Jingdong Logistics' Shenmiao algorithmic platform, responsible for algorithmic platform research and development, as well as experience, transportation, warehousing and other algorithmic direction of the architecture landing. The Magic Algorithm platform is a one-stop algorithm service platform. It aims to improve the development efficiency of algorithm engineers, the efficiency of machine use, quantify the value of algorithms and guide the next iteration of algorithms, and ultimately empower physical enterprises to realize digital transformation. The platform provides feature engineering, model training, online reasoning and AB experiments, as well as algorithm stability tools and other general capabilities, empowering algorithm engineers to quickly develop, test, launch and maintain algorithmic projects.

Worked in Ant Group middleware team, participated in the maintenance and construction of Ant Koupleless and SOFAArk open source projects, participated in the internal SOFAServerless product development and practice.

He has worked for Ali and other Internet companies, and has many years of experience in basic platform, big data application and AI platform development. Currently working in eBay AI platform team, the work mainly involves feature platform, vector database and other areas, to help data scientists to quickly complete the development of features, on-line and retrieval. Currently, he is mainly responsible for the construction of enterprise-level data pipeline in AI field.

Joined Meitu in 2018 from Meitu SRE team, mainly responsible for the business operation and maintenance of several business lines of the company, including Meitu Camera, Meitu Skin, Meitu Design Office and Meitu Image Research Institute MTLab; Rich experience and in-depth understanding of multi-cloud environments, familiar with and have actually operated mainstream cloud platforms such as Ali Cloud, Tencent Cloud, Huawei Cloud, Volcano Cloud, AWS, Azure, GCP, etc.. Accumulated rich experience in multi-cloud management, operation and maintenance automation, architecture optimization, etc., and continue to explore the latest development of technology and best practices, committed to promoting the stable operation of the company's business and technological innovation.

Senior R&D Engineer for Volcano Engine A/B testing with 8+ years of data engineering industry experience. Since joining ByteDance in 2019, he has focused on ToB data products, from UBA, advertising and marketing to DataTester product which is mainly responsible for Volcano Engine A/B testing nowadays, and is committed to building an advanced enterprise-level A/B testing platform to provide better service for ToB enterprises.

2022 Joined GoTravel Infrastructure - Infrastructure Platform team, mainly responsible for the development of test domain tools. Participated in automation testing, co-testing platform, write pressure test and other projects, and has in-depth understanding of recording and playback scenarios. Familiar with AI big model general knowledge, 23 years began to major in the direction of AI big model application, understand the ability of big model boundary, responsible for AI checklist, AI code visualization and other projects, complete the application of AIGC in the test domain, demand domain efficiency landing. He won the champion of AIGC HACKATHON Competition in the go-go area.

OceanBase database solution architect, currently responsible for the landing and technical guidance of OceanBase database in various large Internet companies and enterprises and institutions, has worked in Internet companies and financial technology companies, led a number of database upgrades, migration, localization landing and other work. He has rich experience in database management and has been responsible for the development of database integration control platform. He has a deep understanding of database systems, and currently specializes in the research of distributed database technology.

A Spiritbird Cloud technologist, he currently leads the Container Networking team at Spiritbird Cloud, working on solving pain points in running Kubernetes services.In 2019, he created the open source project Kube-OVN, which aims to bring traditional software-defined networking technologies into the cloud-native space, and is now a CNCF sandboxed project. As a founding engineer of the company, he has been deeply involved in the startup phase of the company since 2015. He also has a strong interest in the commercialization and internationalization of open source projects, and expects to communicate and share with more peers through this conference.