Vishant Kumar Email & Phone Number

Los Angeles, CA, US

Sunnyvale, California, United States

Long Beach, California, United States

• Developed a variety of features and improvements for the backend servers of Zwift’s MMO-style fitness game.
• Developed several new Spring Boot microservices all the way from design to production deployment; microservices included REST APIs, database management and communication, and async messaging using Kafka.
• Regularly deployed new services and live updates to production using cloud technologies such as Docker, Kubernetes, and Terraform; ensured production deployments caused no downtime.
• Monitored service performance on production with analytics tools such as Datadog, and provided support and fixes for production issues to maintain more than 99% service uptime.
• Implemented static code and test coverage analysis into the build pipeline to improve the team’s code quality metrics and increase overall test coverage to at least 80%.

Irvine, California, United States

• Tyco Inventory Management App (Java)
• Designed and developed an enterprise Android application for Tyco’s RFID inventory management system.
• Built the interface to several serial-connected and Bluetooth connected industry leading RFID readers and the REST client to interface with the Enterprise inventory management system.
• Built all the UI to drive several business-critical workflows and the business logic behind the workflows. The workflows included rapid inventory counting with custom business rules, geolocation of specific products in.
• Built the concurrency and multi-threading model to handle over 5 million RFID tags at once in the Android device while handling data streamed from the RFID readers and the data streamed from the enterprise server, to.
• Worked closely with the Product Management team to nail down customer requirements, and the QA team for customer acceptance testing and delivery of the product. Interfaced with a team in Europe for custom modifications.

Palo Alto, California, United States

Designed and implemented a feature to allow users to write custom MapReduce scripts to be executed on the company’s existing Hadoop distributed computation framework. The framework designed had to take a user created script and generate a MapReduce job to be executed on the Hadoop cluster, reading in the user’s data from Amazon S3. (Java)