Designed automated, fast, scalable, and complex planning and scheduling systems for purchasing TV inventory, which powered the core of the company's multimillion dollar TV business.

• Architected and built complex planning and resource optimization framework to increase efficiency in customer decision making application.

• Developed reporting infrastructures, including models, databases, and front-end APIs to access and manipulate data with front end systems.

• Collaborated closely with product managers and engineering teams to plan, design, and develop optimal solutions improving efficiency into customer purchasing model.

• Used C#, .NET, MongoDB, SQL Server, JavaScript / Typescript, HTML/CSS, PowerShell

First engineer hired to focus on new TV Platform Marketplace (startup within startup) to develop internal reporting and data management tools. Domain expert for technical solutions related to purchasing, inventory, and data management systems.

• Architected systems for automated ingestion, processing, storage, and reporting of TV viewing data from industry standard sources. Written in Python and BASH, with MySQL/MariaDB/TokuDB back end.

• Redesigned infrastructure to work in the .NET tech stack using C#.

• Designed and implemented reporting data models and APIs.

Developed and implemented various internal reporting tools to display metrics, track issues, and ensure data integrity using Python, PHP, and BASH.

Architecture Design Intern

• Designed and Implemented an automation framework for the simulation-based testing of logic design for a SSD. The framework automatically ran simulation tests, nightly builds, and sets of tests in response to Git commits; also included automated status reporting system via email through Jenkins

• Optimized simulation compilation and build times for SSD logic in Quartus II Programmer

• Developed Verilog Unit Tests for SSD logic

• Used Quartus II, Git, Hudson, Jenkins, BASH scripting, Linux