Sean Gillespie is an account lead with over a decade of experience managing high-value digital advertising portfolios and driving mobile campaign strategy for Fortune 500 technology and communications clients. Based in Greater Boston, he has a proven track record at Yahoo, Verizon Media, AOL and Millennial Media delivering multi-million dollar upfront deals, recovering underdelivery shortfalls, and growing accounts by more than 200%. Sean blends hands-on ops skills—training teams, building booking guides, and coordinating cross-functional launches—with consultative client relationships that translate data into strategic media plans. He also contributes to open-source digital forensics and incident response projects, improving backend artifact readers and operational maintainability in well-known repos like ForensicArtifacts and GRR. That mix of ad ops rigor and pragmatic engineering contributions gives him an uncommon ability to bridge technical teams and client-facing strategy.
11 years of coding experience
2 years of employment as a software developer
University College Cork
Bachelor of Science (BS), Marketing, Bachelor of Science (BS), Marketing at Boston College
GRR Rapid Response: remote live forensics for incident response
Role in this project:
Back-end Developer
Contributions:240 commits, 67 PRs, 253 comments in 1 year 5 months
Contributions summary:Sean's contributions primarily focused on enhancing the backend functionality of the GRR Rapid Response system. They added a variable for modifying email templates and made corresponding code changes in various files, including administrative scripts and security-related objects. Further refinements involved renaming variables and configuring default values in server.py, indicating a focus on system maintainability and operational efficiency.
Contributions:14 commits, 18 PRs, 78 comments in 1 year 5 months
Contributions summary:Sean primarily focused on refactoring and enhancing the artifact reader classes within the digital forensics artifact repository. They fixed bugs related to OS handling, improved the source type handling, and extended the reader to support sources and source types. Additionally, the user implemented JSON support for reading and writing artifact definitions, and included corresponding unit tests. These changes facilitate more flexible and robust artifact definition management.
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