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

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.

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