DAVID TRAM

Location Los Angeles, CA GitHub github.com/DatTram0610

Phone 310-***-**** LinkedIn linkedin.com/in/david-tram

Email ac34n7@r.postjobfree.com

SKILLS

Front End:

JavaScript (ES 5/6), AngularJS, Angular 2+, React/Redux, jQuery, Bootstrap, AJAX, HTML5, CSS3, UI Bootstrap, UI Router, HighCharts, Toastr, AWS SNS and SES

Middle Tier:

NodeJS, Python, Java, Express, Async, AWS SDK, AWS API Gateway, AWS Lambda, Multer, Passport, Web Sockets

Back end:

Mongo 3.6, LowDB, Mongoose, HapiJS/Joi, Mongo Native, AWS S3, AWS DynamoDB, Heroku Hosting, AWS CodeDeploy

Other Technical:

Scrum/Agile, Visual Studio Code, Robo 3T, Git, Gulp, Bower, Babel, Team Foundation Server (TFS), GitHub, Chrome DevTools, SendGrid, Google Maps, Google & Facebook OAuth, Google Recaptcha, Chai.Js, Mocha.Js, Microsoft Office

EXPERIENCE

Full Stack JavaScript Developer Contractor 01/2017 – present

Watershed Conservation Authority

GREEN Project:

The scope of the Green Regional Environmental Enhancement Network (GREEN) Project includes regional data collection and assessments, identification of priority projects, and community engagement strategies through the launch of an online GREEN project portal to share data and information, and to catalyze investments and positive change.

HUBBUB Project:

The project’s missions are to release the burden on Los Angeles’s transportation and housing, improve the economy and reputation of neighbors and area, and prepare for international events (Olympic 2028) by designing efficient routes between transit stops (airports, train stations, bus stops…), introducing and assisting local neighbors to build their reputation and images, and analyzing massive data from government and corporates.

• Created RESTful APIs and routes and implemented AWS Lambda and AWS API Gateway for communication between front-end, API controller, and back-end with NodeJS/Express

• Designed architecture for single page application using Ajax, JSON, jQuery, AngularJS, Angular 2+, React/Redux

• Designed and developed MongoDB by using schema and models and structuring mongo aggregation

• Improved application’s efficiency by creating reusable Angular and React components.

• Relieved burden during uploading process and utilized AWS S3, AWS DynamoDB for a more scalable, maintainable database architecture (images, files).

• Designed and optimized algorithms for project-fund matching feature (intuitive dating-like UX) to connect available funds with proposing projects

• Implemented HighChart library to display custom metrics for measuring key statistics involving proposals and users’ data.

EDUCATION

California State University Dominguez Hills 2015 - 2017

Accounting and Computer Science

El Camino College 2013 - 2015

Accounting

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