Richard Wolniewicz
Engineering Manager at Google
- Role
- Engineering Manager at Google
- Location
- Longmont, CO, US
- LinkedIn followers
- 500 followers
About Richard Wolniewicz
I build bridges between business and technical perspectives and develop excellent software engineering organizations in order to deliver high-value solutions. Over a career spanning multiple start-up companies to well-known, industry-leading organizations such as 3M, Amazon.com and McGraw-Hill, I have learned first-hand what does and doesn\'t work in rapid, innovative, high-quality software development. My focus is on applications that leverage large amounts of data and advanced statistical / machine learning technologies to support scalable, information-intensive business models. My recent career has emphasized unstructured data analysis through Natural Language Processing. In support of this focus, I have compiled a diverse and deep educational background from world-class institutions, culminating in a Ph.D. in Computer Science from the University of Colorado as well as an MBA from the University of Warwick in the United Kingdom.Specialties: Machine learning, statistics, database systems, data mining, natural language processing, web software development, agile software development, people management, financial analysis
Experience
Engineering Manager
Mar 2018 — Present · Boulder, CO, US
I lead teams in the Payments Platform at Google, focused on Trust, Safety, and Compliance needs.
Education
University of Colorado Boulder
M.S., Computer Science
University of Warwick - Warwick Business School
MBA, International Management
2002 — 2009
University of Colorado Boulder
B.S., Engineering Physics
University of Colorado Boulder
Ph.D., Database Systems
Skills
- Cross-Functional Team Leadership
- Software Documentation
- Tensorflow
- Financial Analysis
- Java
- C++
- Machine Learning
- Start-Ups
- Team Leadership
- Agile Methodologies
- Management
- Integration
- Soa
- Process Improvement
- Product Management
- Kotlin
- Distributed Systems
- Architectures
- Telecommunications
- Analysis
- Data Science
- Leadership
- Scalability
- Software Engineering
- Business Process Improvement
- Databases
- Javascript
- Project Management
- Program Management
- Amazon Web Services (Aws)
- Crm
- Data Modeling
- Business Intelligence
- Software Development
- Natural Language Processing
- Python
- Scrum
- Deep Learning
- Data Mining
- Algorithms
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