David Grossman
Engineer at VulnCheck
Potomac, Maryland, United States
Summary
👤
Senior🎓
Top SchoolDavid Grossman is a seasoned software engineer and data scientist with more than ten years of experience delivering ML and security-focused software. He combines strengths in Python, Java, Apache Spark, and deep learning to design scalable data-driven systems for network analytics, security, and hardware analysis. A veteran of the government and security sector, he contributed to projects at NSA and GCHQ, later leading AI data engineering at Point72 Ventures, bridging research with enterprise-grade deployments. As a back-end developer on the open-source faucetsdn/poseidon project, he refined core parsing logic, expanded testing, and evolved the REST API to support SDN-enabled ML workloads. Based in Potomac, Maryland, and a Penn State Computer Engineering graduate, he brings a pragmatic, security-conscious approach to building reliable, auditable AI-powered systems.
10 years of coding experience
21 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Penn State University
Github Skills (8)
unit-testing10
python10
rest-api8
api-rest8
machine-learning6
sdn6
automation5
automations5
Programming languages (6)
Github contributions (5)
faucetsdn/poseidon
May 2016 - Oct 2019
Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 659 commits, 202 PRs in 3 years 6 months
Contributions summary:David primarily focused on implementing and refining the core logic of the poseidon project, a Python-based application that leverages software-defined networks (SDN) for machine learning tasks. Their commits demonstrate a focus on the tcpdump_hex_parser plugin, adding documentation, removing unused variables, and updating test cases to support changes in the header parsing process. The contributions included refactoring the parsing of network packets, updating unit tests, and refactoring of the REST API.
pythonsdn-controllertype-ofsdnpredict
d-grossman/videofacesummary
Jun 2017 - Nov 2017
Contributions:64 commits, 20 PRs, 62 pushes in 5 months
pythondeep-learningcomputer-visionmachine-learningvideo
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