David Tavarez is a veteran program and project manager with over a decade of hands-on software engineering experience, blending leadership with deep backend development skills in Python, .NET/C#, C++, and security-focused tooling. He has practical experience building and hardening systems that interact with sensitive data — notable open-source work includes backend contributions to pwndb credential-search tooling and enhancements to the SilentTrinity post-exploitation framework. Comfortable in Linux environments and familiar with crypto and security concepts, he pairs practical coding (stagers, proxy integration, JSON/text outputs) with program-level delivery and risk awareness. A graduate-level scholar from the University of Charleston, he brings a rare mix of operational program management and active, security-oriented engineering contributions.
12 years of coding experience
Graduate Level Degree, Graduate Level Degree at University of Charleston
Contributions:44 commits, 18 PRs, 32 pushes in 2 years 3 months
Contributions summary:David primarily contributed to the development of a credential-leaking search tool. Their work involved implementing the backend logic for interacting with a dark web service (pwndb) accessed through a Tor proxy, adding functionality for searching email lists and individual targets, and incorporating an API from lea.kz (later removed). They refactored the code, improved exception handling, and added JSON and text output format options. They fixed bugs related to domain searches and overall code structure.
An asynchronous, collaborative post-exploitation agent powered by Python and .NET's DLR
Role in this project:
Back-end Developer
Contributions:50 commits, 23 PRs, 41 comments in 5 months
Contributions summary:David contributed significantly to the SilentTrinity project, a post-exploitation framework. They implemented features related to stager generation, specifically integrating msfvenom. Their work included refining IP address handling and creating a resource file generator. The commits also show enhancements to the core components, including completion suggestions and adding a uploader module.
pythondlrred-teamsc-sharps-net
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