Gurparkash Singh

Richmond, CA • 510-***-**** • adgy64@r.postjobfree.com • github.com/gpksingh123 • linkedin.com/in/gpksingh/ • US Citizen SKILLS

Front End: Javascript ES6+, React.js, Redux, d3.js, HTML, CSS, jQuery, Webpack, Babel Back End: Node.js, Express, Postgres, MySQL, Sequelize, MongoDB, Mongoose.js, Amazon Web Services, Docker, Other: Git, Mocha/Chai, Jest/Enzyme, C++, Objective C, Java, Matlab, Python, Unix/Linux, Excel, HTTP, JSON, REST EXPERIENCE

PowerSchool, Sacramento, CA Senior Associate Quality Assurance Engineer MAR 2020–PRESENT

● Developing and maintaining Selenium automated tests in Java utilizing object oriented design patterns.

● Automated and manual regression testing during deployment of new releases.

● Maintaining, updating, and setting up new VMs on Azure to run nightly automations.

● Interacting with multiple product groups and teams to implement nightly automated testing related to the integration of various products in the PowerSchool Portfolio. Premier Nutrition, Emeryville, CA Associate Supply Chain Planner JUN 2019–SEPT 2019

● Issued POs for materials based on demand forecast, lead times, safety stock, and warehouse capacities.

● Monitored the daily production output at co-manufacturers and managed delivery schedules of materials. Meditab Software Inc., SACRAMENTO, CA Project Management Intern DEC 2019–MAR 2019

● Responsible for implementing electronic health records software (EHR) in healthcare practices

● Provided client training onsite and over GoToMeetings online

● Utilized MySQL queries to transfer patient records data to Meditabs EHR Software. PROJECTS

Full Stack Stock Prediction Application ReactJS, MySQL, NodeJS, ChartJS JAN 2020

● Pulled stock prices from online API and performed predictions using Recurrent Neural Network & Long Short Term Memory with TensorFlow.js framework.

● Stored prediction data in MySQL database and utilized RESTful API’s to retrieve, then visualized data using ChartJs on the client side.

Related Lodgings Database System Design ReactJS, Postgres, NodeJS, Cassandra, AWS JAN 2020

● Optimized Postgresql read times from 1,200ms to 3.5 ms with indexing and customized configuration settings.

● Designed and scaled the backend infrastructure for a Hotel and Home Listings application to handle a large volume of web traffic and spikes of up to 1800 RPS by horizontally scaling across multiple Amazon EC2 instances using Nginx load balancers.

● Identified system bottlenecks utilizing stress-testing tools such as New Relic, Loader.io and Artillery to simulate sustained high traffic load.

Restaurant Reviews Application ReactJS, NodeJS, MySQL, Docker, AWS, S3, EC2 JAN 2020

● Implemented image display module in React to create a dynamic UI that efficiently managed state.

● Leveraged MySQL database using Sequelize.js to simplify the query process during RESTful api calls.

● Developed and deployed service-oriented architecture on AWS by using Docker to run proxy and application code on EC2 instances.

● Reduced the file sizes and number of HTTP requests by minifying and bundling client component files using Webpack, resulting in increased page load speeds

Handwritten Numbers UPS Data Set Matlab MAY 2018

● Built a 2-layer Artificial Neural network from scratch for image recognition with an accuracy of 98%.

● Implemented SVD on number class matrices and used least square differences to classify digits. EDUCATION

UC Davis Bachelors of Science in Applied Mathematics, minor Computer Science DEC 2018

● Relevant Coursework: Data Analytics and Decision Making, Machine Learning, Algorithm Design and Analysis, Probability and Statistical Modeling, Data Structures, Numerical Analysis, Object-Oriented Programming Hack Reactor Advanced Full-Stack Software Engineering Immersive JAN 2020

Contact this candidate