Wenjie Cai
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Manager
- 6 years of college teacher - 25+ years of experience on AI/ML (AI Researcher: 15+ years; Developer: 9+ years; Mainly focused on Character Recognition, Data Mining/Big Data Analytics, and Computer Vision.) - 13 years of management work (Tech Lead/Team Manager: 7+ years; Delivery Project Manager: 6+ years) - Skill in studying and employing core algorithms of AI/ML models, and can work on a few of different AI fields. Thanks to this, I can consider solutions from wide angles when I face to some difficult issues. - During the past decade, I joined many practical AI projects and DX projects as a developer or a tech lead. It gives me strong engineering skills for coping with any practical problems while developing. - In recent years, I have been mainly focused on data analytic and AI related projects for leading pharmaceutical companies, including UCB (1 year), MSD (0.5 year), AstraZeneca (0.5 year), Takeda Pharmaceuticals (2 months), and Torii Pharmaceuticals (8 months). - I speak Japanese, English, and Chinese fluently, so I can work with people from many different countries. - I have long experience in different positions including Data Scientist, Data Engineer, Bilingual Delivery Project Manager, and Business Analyst, and have practical experience in all aspects from requirement definition of DB development, system architecture, DWH creation, AI/ML model creation, to final BI Reporting/Dashboard creation.
Kyushu University
Ph.D. in Engineering (Intelligent Information Systems Engineering Course), Pattern Recognition&Machine Learning,Character Recognition,Image Proc.,Natural Language Proc.,Mining
January 1, 2000 – January 1, 2007
Wuhan University
Master of Engineering (M.Eng.), Image Processing & Intelligence, Hospital Information System
January 1, 1993 – January 1, 1996
Wuhan University
Bachelor's degree, Electrical, Electronics and Communications Engineering
January 1, 1986 – January 1, 1990
Cognizant
Manager - Projects
May 1, 2024 – Present
Tokyo, Japan
Randstad
Data Analytics Lead & Business Analyst
March 1, 2023 – April 1, 2024
日本 東京都 東京
Hays
Data Scientist
September 1, 2022 – February 1, 2023
Station
Project Manager
January 1, 2022 – August 1, 2022
Tokyo, Japan
Cognizant
Manager - Data Scientist
January 1, 2021 – December 1, 2021
Tokyo, Japan
Tata Consultancy Services
Project Manager
June 1, 2019 – December 1, 2020
Within 23 wards, Tokyo, Japan
Pactera
Data Scientist
September 1, 2018 – May 1, 2019
Within 23 wards, Tokyo, Japan
Hamee Corp.
Senior AI Engineer & Data Scientist
November 1, 2017 – August 1, 2018
BRYCEN Co., Ltd.
Executive Specialist
December 1, 2015 – October 1, 2017
Tokyo, Japan
Tokyo University of Agriculture and Technology
General Manager, Project Leader
August 1, 2013 – November 1, 2015
Tokyo, Japan
O-RID
Manager, R&D group leader
April 1, 2007 – July 1, 2013
Oita, Japan
Faculty of Information Science, Kyushu Sangyo University.
Associate Teacher
April 1, 2005 – March 1, 2007
Fukuoka, Japan
Wuhan University
Lecturer
April 1, 1996 – September 1, 2000
Wuhan, Hubei, China
No. 707 institute, China State Shipbuilding Corporation
Researcher
August 1, 1990 – August 1, 1993
Tianjin City, China
Camera image processing ( AWB, AE, Dual camera), IoT system
December 1, 2015 – Present
Skills: Windows · Artificial Intelligence (AI)
Handwritten character recognition, Image processing, Pattern recognition & Machine learning, Automatic scoring system
August 1, 2013 – November 1, 2015
Skills: Linux · Windows · Artificial Intelligence (AI)
OCR & Online character recognition, Image processing, Nature language processing, Text mining
April 1, 2007 – June 1, 2013
Skills: Windows · Artificial Intelligence (AI)
Character recognition, Pattern recognition & machine learning
October 1, 2000 – March 1, 2007
Skills: Linux · Windows · Artificial Intelligence (AI)
Image processing, HIS(Hospital Information System), PACS(Picture Archiving and Communication System)
September 1, 1993 – September 1, 2000
Skills: Windows · Artificial Intelligence (AI)
Analog circuits
September 1, 1990 – August 1, 1993
Skills: Windows
Explore Generative AI with the Vertex AI Gemini API Skill Badge
Google Cloud - Minnesota
June 24, 2026 – Present
Generative AI: Introduction and Applications
IBM
June 24, 2026 – Present
Generative AI Essentials
Coursera
June 24, 2026 – Present
Gemini for Application Developers
Google Cloud - Minnesota
June 24, 2026 – Present
Responsible AI: Applying AI Principles with Google Cloud
Google Cloud - Minnesota
June 24, 2026 – Present
Google Cloud Big Data and Machine Learning Fundamentals
Google Cloud - Minnesota
June 24, 2026 – Present
Introduction to Large Language Models
Google Cloud - Minnesota
June 24, 2026 – Present
Text Prompt Engineering Techniques Skill Badge
Google Cloud - Minnesota
June 24, 2026 – Present
AZ-900 Azure Fundamentals: Crash Course
Udemy
June 24, 2026 – Present
Introduction to Generative AI
Google Cloud - Minnesota
June 24, 2026 – Present
The Project Management Course: Beginner to PROject Manager
Udemy
June 24, 2026 – Present
Develop GenAI Apps with Gemini and Streamlit Skill Badge
Google Cloud - Minnesota
June 24, 2026 – Present
Generative AI for Everyone
DeepLearning.AI
June 24, 2026 – Present
Agile Project Management
June 24, 2026 – Present
Generative AI Overview for Project Managers
Project Management Institute
June 24, 2026 – Present
Power BI Master Class - Dashboards and Power BI Service
Udemy
June 24, 2026 – Present
Generative AI Fundamentals
Google Cloud - Minnesota
June 24, 2026 – Present
Preparing for your Professional Data Engineer Journey
Google Cloud - Minnesota
June 24, 2026 – Present
Integrate Vertex AI Search and Conversation into Voice and Chat Apps Skill Badge
Google Cloud - Minnesota
June 24, 2026 – Present
AWS Partner: Developing Generative AI Applications on AWS
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and extensive professional experience in AI/ML, which aligns well with a technical, research-oriented culture. The diverse project experience across different companies (Cognizant, Randstad, Hays, TCS, Pactera, Hamee Corp., BRYCEN, O-RID) and industries (pharmaceutical, e-commerce, automotive, finance) demonstrates adaptability and a broad skill set. However, the recent shift towards more project management and business analyst roles, while valuable, might require re-focusing on hands-on ML engineering for a pure ML Engineer role. The numerous recent certifications in Generative AI and cloud platforms indicate a strong commitment to continuous learning and staying current with industry trends, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's extensive experience in project management and leading R&D teams suggests strong leadership, coordination, and problem-solving skills. Descriptions of working with global teams and managing vendor relationships indicate good communication and collaboration abilities. The diverse project portfolio also points to adaptability and a proactive approach to learning new technologies and domains.