I'm a software engineering and policy leader based in D.C. with 8 years of experience in the industry. Interested in building new projects and helping others grow into themselves.
📧 Email address: [email protected]
🔗 LinkedIn: https://www.linkedin.com/in/ishvarausdavis/
🤖 Github: https://github.com/ishdavis
U.S. Congress*, 01/2023-9/2023*
Utilizing my technological background to inform legislation and regulation around emerging technologies, with a strong focus on Artificial Intelligence. Given the importance of Artificial Intelligence, I decided to spend a year bringing my technical background, collaboration ability, and industry perspective to Congress. Throughout this experience I was able to develop legislation, foster industry partnerships, secure investment for emerging tech, and influence various narratives around AI and other emerging technologies.
Meta*, 02/2022-12/2022*
Leading a team of 8 engineers and architects that focus on building products for Financial Services and Tech/Telco advertisers. I act as the subject matter expert on Lead Generation & B2B both internally and externally, with a focus on forming a long-term strategy around this space and sharing it out. I also focus on providing coaching and support for everyone on the team, interfacing with cross-functional leadership, and working with leaders from other companies in industry to develop strategy.
Meta*, 02/2019-02/20222*
Touching all things Lead Generation and B2B on the Meta ads platform. Acting as the tech lead for 2 of our larger programs that touch Targeting, Ranking, Profile, & other teams across Meta. Early on I delivered code on the Signals UI, Lead Ads infrastructure, & internal entertainment models that have gone on to generate several billion dollars in revenue. I now work across these teams as a leader of project leaders, defining strategy and working directly with clients to innovate.
IBM*, 06/2017-02/2019*
Core member of the hybrid cloud software security team with a focus on Machine Learning. Developed several processes to discover anomalies and detect trends, from backend infrastructure, to model deployment, to frontend tools. These services were ingested by other teams and leadership for insights.