
Linda Choi
Project Manager @ Microsoft
About
I am a project manager with a passion for artificial intelligence and machine learning technologies, working on applying the latest technologies to a variety of business scenarios. I have extensive knowledge of machine learning and computer science, as well as experience working and collaborating in large enterprise environments. My focus is on developing and implementing innovative solutions in the field of Artificial Intelligence. I have deep machine learning skills, including developing and tuning various machine learning models such as decision trees, neural networks, and deep learning models. I am also familiar with other areas such as Natural Language Processing, Computer Vision and Reinforcement Learning and am able to combine these techniques with Machine Learning to achieve optimal results. I have experience in a variety of fields including finance, healthcare, education and manufacturing. I have worked on many projects such as developing intelligent chatbots, building natural language processing systems, and designing intelligent recommendation systems. My work experience also includes large-scale data processing and analytics, as well as deploying and optimizing AI solutions in cloud computing environments. As an AI engineer, I focus on learning and innovation, and regularly attend industry conferences and seminars to keep up with the latest technologies, and to communicate and share with my peers. I am passionate about the open source community and actively contribute code and share my experience. If you are interested in Artificial Intelligence and Machine Learning technologies and want to learn how to apply them to your business, please contact me. I would be happy to share my experience and insights with you to discuss the best solutions.
United States
Irvine
Computer & Network Security
Nonprofit Organizations, Strategic Business Development, Advertising, Business Development Consultancy, Business Development, Initiation, Process Engineering, Overseeing Projects, Sales, Technical Project Leadership
Experience

Project Manager
Irvine, California, United States
Lead and manage the data department. in data strategy, data management, and data-driven decision making. Responsible for the planning and execution of the overall data strategy, ensuring the quality, reliability and availability of data to support the organization's business objectives and decision making needs

Project Leader
Redwood City, California, United States
Worked with a team to successfully complete the development of SOA flows in financial applications, starting with the design of code artifacts in BPEL, Mediator The team successfully completed the development of SOA flows in financial applications, starting with the design of code artifacts, coding in BPEL, mediators, manual workflows, OBR, business events, AQ-JMS, etc., adopting shared repository/enterprise repository references and published services for external use, implementing security and getting the code through all phases of rigorous testing. The project will continue to incorporate WS-Security, JA-IP, OBR, business events, AQ-JMS, etc. Continue to extend technical knowledge of WS-Security, JAAS/OPSS, ADF, SOA 11g and the entire converged middleware suite to an expert level.

Development Manager - Middleware (Metadata Management)
Managing the development of the Metadata Services (MDS) core framework components of Oracle Fusion Middleware, Rohit is responsible for the development of several core components of the product. He is involved in product adaptations for Middleware and other Oracle application groups.Rohit also represents initiatives to build solutions for higher target domains (problem areas) in the middleware stack, such as the Collaboration Portal lifecycle, multi-version websites, etc. He represents Fusion Middleware, Fusion Application Developments and other FMW pre-sales, supported products and consulting teams in the Asia Pacific region

Operational Data Analyst
Hangzhou, Zhejiang, China
Statistics, monitoring and analysis of various types of operation data on the platform, and establishment of operation data analysis models; Through data monitoring, data reporting, data analysis and other methods, help manage operational key data and drive business optimization iteration; Explore product pain points, carry out targeted special data analysis, provide guidance and promote improvement
Linda Choi's Contact Information
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