Tony Ngo
Verified Expert in Engineering
Software Developer
Toronto, ON, Canada
Toptal member since April 9, 2020
Tony is a software engineer with extensive experience at top tech companies, including Microsoft and IBM, and smaller firms and nonprofits. Tony has worked with clients on various projects, focusing on full-stack web development with an emphasis on front-end development in React.
Portfolio
Experience
- Web Development - 7 years
- JavaScript - 6 years
- Redux - 4 years
- React Redux - 4 years
- React - 4 years
- Jest - 3 years
- Material UI - 3 years
- Storybook - 1 year
Availability
Preferred Environment
Enzyme, Jest, Storybook, React Redux, Redux, ECMAScript (ES6), Visual Studio Code (VS Code), Git, Material UI, React
The most amazing...
...thing I've shipped is a Windows 10 multi-session for Windows Virtual Desktop, paving the way for the emerging Desktop-as-a-Service (DaaS) market.
Work Experience
Full-stack Web Consultant
Sora Web Solutions
- Developed a UI for a new media-sharing site that displayed responsive media cards.
- Wrote high-coverage front-end unit/integration tests with Jest and Enzyme.
- Performed refactoring and validation for a back end using Express Validator to increase readability and maintainability.
Front-end Expert [Enterprise]
AXA - Platform, Capabilities, and Automation
- Developed modular React components based on MUI, using Storybook from components like buttons and fields to forms and entire page sections.
- Used storybook components to build web pages and applications for internal and external facing products according to Adobe XD mockups.
- Developed a high-performing CMS for an upcoming product in collaboration with the UX and back-end teams that handled data normalization, allowing the data team to update the application in real-time.
Software Engineer
Microsoft Corporation
- Used C/C++ to develop Windows 10 Enterprise multi-session for Microsoft's new cloud-based desktop-as-a-service solution. This new Windows 10 SKU allowed multiple user sessions to connect simultaneously to a single running operating system.
- Led the development and managed a team of contractors for Windows Remote Desktop build-test infrastructure which provisioned servers, deployed operating systems, and executed tests on over 1,000 machines/week.
- Maintained full-stack web services for build-test infrastructure with a C# .NET back end.
- Fixed bugs in Windows Remote Desktop using C/C++, the Win32 API, and Azure DevOps.
Software Developer
IBM
- Designed and developed the WebSphere Application Server installation process to transition between Java 7 and Java 8.
- Used Java, XML, and ANT to generate interim fixes and hot patches for the WebSphere Application Server.
- Created the end-to-end test infrastructure for WebSphere Liberty Logging in Bash and Python, wrote tests for the service, and automated the test results reporting in Slack.
- Gave introductory talks/lectures to new interns to facilitate IBM WebSphere's transition from CMVC to Git.
Experience
Reinforcement Learning for Atari Breakout (TensorFlow)
This algorithm was modeled after the A3C and Deep-Q CNN formula described in the famous DeepMind papers (Mnih et al, 2013, 2016). I also added enhancements such as e-greedy action selection, experience replay, and frame stacking to improve its learning curve.
In the end, the AI was able to achieve a super-human score of 220 after a full day of training, compared to the average human score of 32.
Education
Bachelor of Applied Science Degree in Computer Engineering
University of Toronto - Toronto, ON, Canada
Skills
Libraries/APIs
React, React Redux, Material 2, TensorFlow, Node.js, Win32 API, Immutable.js
Tools
Visual Studio, Firebase Authentication, Git, Postman, Gulp, Babel, Webpack, Jenkins
Platforms
Windows, Visual Studio Code (VS Code), Java EE
Languages
JavaScript, Java, C++, XML, ECMAScript (ES6), C, C#.NET, PHP, GraphQL, Sass, Less
Frameworks
Material UI, Redux, ASP.NET, Express.js, Jest, CodeIgniter, React Native
Paradigms
Agile, Azure DevOps
Storage
Cloud Firestore, MySQL
Other
Web Development, RHEL, Storybook, Enzyme, Sagas, Deep Reinforcement Learning, Apollo
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