At DISH NETWORK TECHNOLOGIES, I architected and scaled a patent-filed AI/ML feature for automated brand identification and IAB-standard ad categorization, delivering nearly 10x lower costs than third-party alternatives. I also optimized ad-cache selection with a CPM-per-second prioritization algorithm, lifting cache CPM by about $3.2 over baseline and driving estimated incremental revenue of about $6M per year.
Earlier at DISH NETWORK TECHNOLOGIES, I worked on integrating diverse ad demand sources and contributed to consolidating three lines of business developed in Kotlin and deployed on AWS, helping reduce operational costs by about 15%. My AdTech work includes publisher-side header-bidding wrappers, real-time programmatic auctions, and OpenRTB request/response pipelines.
