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Mingjie Chen is listed as CIPT | Security & Privacy @ Schaeffler | Privacy Engineering @ CMU at Schaeffler, based in Detroit Metropolitan Area, United States. AeroLeads shows a work email signal at cs.cmu.edu and a matched LinkedIn profile for Mingjie Chen.
Mingjie Chen previously worked as Systems Cybersecurity and Privacy Engineer at Schaeffler and Systems Security and Privacy Engineer at Vitesco Technologies. Mingjie Chen holds Master’S Degree, Master Of Science In Information Technology, Privacy Engineering from Carnegie Mellon University.
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Dynamic Privacy and Cybersecurity expert with over 6 years of experience in software engineering, machine learning, and deep learning. Expertise in navigating domestic and international privacy and security regulations such as GDPR, CCPA and ISO 21434. Unique skill set that allows approaching Privacy and Security from a technical perspective with a background in Software Engineering and research experience in Artificial Intelligence. Proficient in Information Security, Automotive Cybersecurity, Python scripting, and Database Management. Possesses exceptional communication skills honed through managing and influencing multiple projects, adept at operating and communicating effectively in ambiguous situations, while consistently delivering clarity and results.
Listed skills include Python, Artificial Intelligence, Java, Privacy, and 6 others.
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A career timeline built from the work history available for this profile.
Herzogenaurach, De
Formerly Vitesco Technologies, merged with Schaeffler in October 2024.Project Cybersecurity and Privacy Manager (PCPM) in Cybersecurity and Privacy Management (CPM) Team
Regensburg, Bayern, De
Company merged with Schaeffler in October 2024.Project Security and Privacy Manager (PSPM) in Security and Privacy Management (SPM) Team
Pittsburgh, Pa, Us
94806 Privacy in the Digital Age
Wilmington, Ma, Us
Product Security Assurance (PSA) Team• Assisted in the development of privacy security lifecycle management measures; Output data privacy technical solutions and promoted their implementation.• Designed and improved the privacy review and approval process using the NIST privacy framework to reduce privacy risks throughout the product lifecycle.• Conducted reviews to identify and address privacy exposures in product development. Outlined the privacy policy of the new product and created a template.• Managed the receiving process of data collection requests, assessed privacy risks, facilitated the review and approval process.• Developed privacy threshold analysis (PTA) and privacy impact assessment (PIA) processes and built relevant documents and templates.• Prepared training materials to explain and compare GDPR and CCPA/CPRA requirements.• Influenced and built relationships with team members and ensured that all products, services, and projects were designed with data privacy protection in mind.
Shenyang, Liaoning, Cn
Cross-border E-commerce Borrow-sell Platform• Built a storage system with MySQL and MyBatis on Alibaba Cloud RDS & OSS from local storage for non-structural data. Utilized Redis as the high-speed cache and successfully improved loading speed of static resources and reduced system load.• Constructed microservices based on Spring Boot and Spring Cloud framework for user and product information management, and configured deployment automation using Jenkins and Docker.• Achieved load balancing, fault tolerance, etc. using Spring Cloud. Established gateway with Spring Security and connect with Oauth2 authentication server to verify token as well.• Built the front-end with Vue.js and Axios guard, and utilized RESTful API to communicate it with the back-end.
Berkeley, Ca, Us
Vehicle Motion GenerationAdvised by Prof. Masayoshi Tomizuka and Postdoctor Liting Sun• Utilized Imitation Learning and Reinforce Learning techniques to predict and simulate vehicles driving behaviors on roads with the data collected by MSC Lab.• Reproduced the paper: ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst; Utilized Generative Adversarial Imitation Learning (GAIL) to simulate vehicles driving behaviors.
Raleigh, North Carolina, Us
Project Title: Computer Vision for High Throughput Plant Phenotyping of Maize PlantsAdvised by Prof. Edgar Lobaton abd Ph.D. Candidate Nathan Starliper.• Adopted image processing techniques and computer vision algorithms such as YOLO-v3 and Fast-RCNN to perform full plant phenotyping of maize plants for the purpose of monitoring crop health, growth stage, and water stress.• Processed raw plants image data and extracted leaf tips and collars features of plants from images and utilized them to determine various topological properties of plants that could contribute insight into the health of plants.
Haidian, Beijing, Cn
Animal Image Detection and Classification SystemAdvised by Prof. Shuangshuang Li.• Built an animal detection and classification system based on CNN to detect and classify mutilple animal types when an animal image was input to the system.• Implemented python web crawler to collect around 50,000 animal pictures as dataset.• Led a team of 5 to establish an animal detection, classification and search system based on deep CNN to detect and classify animal types on the input images to the system, accuracy up to 96%.• Australian Innovation Patent issued.
Other employees you can reach at schaeffler.com. View company contacts →
Sergej Oberdörfer
Colleague at SchaefflerSchweinfurt, Bavaria, Germany
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JR
Jacqueline Reese
Colleague at SchaefflerSeguin, Texas, United States
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TQ
Tommy Quick
Colleague at SchaefflerGreater Florence, South Carolina Area, United States
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Tomáš Pokovič
Colleague at SchaefflerSkalica, Trnava Region, Slovakia
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CP
Courtney Pendleton
Colleague at SchaefflerDoylestown, Ohio, United States
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Nate Baker
Colleague at SchaefflerKillbuck Township, Ohio, United States
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GC
Gabriel Caro Alvarez
Colleague at SchaefflerAuburn Hills, Michigan, United States
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EZ
Ella Zhang
Colleague at SchaefflerPutuo District, Shanghai, China
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MB
Montse Bernal
Colleague at SchaefflerGreater Bilbao Metropolitan Area, Spain
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MJ
Mona Jaeger
Colleague at SchaefflerNuremberg, Bavaria, Germany
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Quick answers generated from the profile data available on this page.
Mingjie Chen works for Schaeffler.
Mingjie Chen is listed as CIPT | Security & Privacy @ Schaeffler | Privacy Engineering @ CMU at Schaeffler.
AeroLeads has found 1 work email signal at @cs.cmu.edu for Mingjie Chen at Schaeffler.
Mingjie Chen is based in Detroit Metropolitan Area, United States while working with Schaeffler.
Mingjie Chen has worked for Schaeffler, Vitesco Technologies, Carnegie Mellon University - Heinz College Of Information Systems And Public Policy, Analog Devices, and Neusoft.
Mingjie Chen's colleagues at Schaeffler include Sergej Oberdörfer, Jacqueline Reese, Tommy Quick, Tomáš Pokovič, and Courtney Pendleton.
You can use AeroLeads to view verified contact signals for Mingjie Chen at Schaeffler, including work email, phone, and LinkedIn data when available.
Mingjie Chen holds Master’S Degree, Master Of Science In Information Technology, Privacy Engineering from Carnegie Mellon University.
Mingjie Chen is listed with skills including Python, Artificial Intelligence, Java, Privacy, Software Development, Machine Learning, Deep Learning, and C.
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