Reed Burchard

Aspiring cybersecurity analyst with a strong foundation in computer science and hands-on experience in software development, log analysis, and network traffic inspection. Currently building security expertise through independent training on TryHackMe (SOC Level 1), and familiar with tools like Splunk and Wireshark. Motivated by a strong interest in threat detection and incident response, and actively pursuing industry certifications such as CompTIA Security+. Eager to bring technical precision, analytical thinking, and a proactive learning mindset to a security operations team.

DRIFT - Drone Racing Instant Flight Tracker, Backend Developer - 09/01/24

• Contributed to a 6-man team building a VR drone racing experience, enabling real-time flight tracking on both simulated and real-world tracks.
• Implemented a backend pipeline in Python and C# to receive and store telemetry data transmitted via UDP., Developed a REST API using FastAPI for real-time data access, integrating with a TimescaleDB backend for efficient time-series storage.
• Enhanced data reliability and system performance by optimizing packet handling and reducing latency in backend data processing.

Mini SOC Lab – Simulated Log Analysis - 03/12/2025

• Created a mock SOC workflow using open-source tools to analyze logs and detect suspicious activity
• Practiced threat detection using Wireshark and system logs from TryHackMe scenarios
• Documented findings in IR-style reports to simulate SOC analyst responsibilities
• Tools used: Wireshark, Splunk, TryHackMe, Windows Event Logs, Bash

System Compiler, Developer - 10/01/22

• Created a compiler in C to convert a simplified language into assembly code with high memory efficiency and optimized performance., Implemented Lex for tokenizing source code, syntax analysis, and error detection, generating parse trees to improve code quality.
• Enhanced assembly language output for optimal memory usage and execution speed, achieving a 10% performance increase.
• Delivered a reliable compilation process, contributing to faster and more efficient application executions.