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Patrick Stock

DSP Software Engineer

DSP software engineer focused on radio signal processing, containerized services, and software-defined radio integration. Experienced developing and testing mission-critical applications and supporting on-site integration events to ensure systems are ready for deployment.

Skills

Languages

Python, C++, C, Rust, Lua, JavaScript, Java, Nix, Bash

Signal Processing

X-Midas, signal detection and validation, spectrum analysis, software-defined radio integration (Ettus, HTL)

Systems & Messaging

Linux, Docker, containerized distributed services, ActiveMQ

Experience

DSP Software Engineer

Parsons
Herndon, Virginia
June 2024 - Present
  • Serve as a software subject-matter expert at on-site integration events, resolving SDR configuration, signal detection, and distributed-service issues across containerized systems.
  • Develop Python services for processing radio IQ data and coordinating Docker containers through an ActiveMQ message broker.
  • Designed and implemented an end-to-end RF test service that transmits known signals between system instances and validates resulting detections through the message broker.
  • Act as the primary software point of contact for a customer project, supporting integration questions and maintaining continuity for its software architecture.

DSP Software Intern

Parsons
Herndon, Virginia
Summer 2022 & Summer 2023
  • Developed a containerized Python application for real-time spectrum visualization, radio control, and signal recording and analysis, including waterfall displays, time-selective and frequency-selective recording, storage-capacity estimates, and tools for reviewing completed recordings.
  • Operated SDR equipment and served as a hardware and software resource during a customer demonstration.
  • Created a VPN service enabling radios to communicate across networks.

Education

Master of Science in Computer Engineering

Virginia Tech
Online
August 2024 - Present
  • Focus: Networking & Cybersecurity
  • Courses Completed: Information Theory, Network Architecture and Protocols, System and Software Security

Bachelor of Science in Computer Engineering

Virginia Tech
Blacksburg, Virginia
August 2020 - May 2024
  • Focus: Machine Learning
  • Minors: Computer Science, Cybersecurity, Math
  • Courses Completed: Network Application Design, Advanced Machine Learning, Computer Organization and Architecture, Computer and Network Security, Embedded Systems, Computer Vision, Cryptography, Artificial Intelligence and Engineering Applications