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ALEC J. VAUGHN

120 Hayes St, Claremont, MN 55924
507-271-5444 | alecjvaughn@gmail.com

PROFESSIONAL SUMMARY

Robotics & Embedded Software Engineer and Certified GenAI Associate Engineer with nearly 4 years of experience designing secure, real-time automation systems and scalable back-end services. Proficient in Python, Linux-based environments, and TCP/IP networking, with a proven track record of bridging hardware constraints and software pipelines. Highly skilled in debugging complex distributed systems, executing root-cause analysis, and utilizing Agile CI/CD frameworks to deliver highly available, production-quality code. Eager to apply strong algorithmic problem-solving to John Deere’s autonomy and embedded display systems.

CORE TECHNICAL COMPETENCIES

  • Software Engineering: Python (Advanced), C++ (Concepts), Object-Oriented Programming, ROS/ROS2 (Concepts), Real-Time Systems.
  • Infrastructure & Networking: Linux System Administration, TCP/UDP/IP Protocols, Edge Computing, Hardware Integration.
  • DevOps & CI/CD: Git/GitHub, Docker, Jenkins/GitLab, Automated Testing, Infrastructure as Code.
  • Methodologies: Agile Software Development, Test-Driven Development (TDD), Root Cause Analysis.

PROFESSIONAL EXPERIENCE

HCLTech / SEAL Consulting (Lumen Engagement)
Lead Consultant / SAP Basis Administrator | Sept 2021 – Nov 2025

  • Real-Time Automation: Engineered complex Python back-end services and automation scripts to monitor system health across Linux/Unix environments, ensuring real-time responsiveness and reducing diagnostic time by 20%.
  • Network & Hardware Integration: Orchestrated critical network failovers utilizing TCP/IP and UDP protocols, rapidly diagnosing hardware/software communication bottlenecks during high-severity outages.
  • Data Processing & Algorithms: Leveraged Azure Databricks to parse and analyze massive, unstructured system telemetry logs, applying advanced data structures to identify usage patterns and system anomalies.
  • CI/CD & Version Control: Maintained strict source control using Git, integrating code into continuous delivery pipelines to ensure reproducible and reliable software deployments for mission-critical enterprise systems.
  • System Validation: Designed and executed rigorous quality controls and integration testing for custom automation code prior to production deployment, aligning with Test-Driven Development (TDD) principles.
  • Agile Collaboration: Operated as a technical lead within a cross-functional Agile team, effectively communicating complex system constraints to stakeholders and guiding peer code reviews.

Goodman Telecom Services
OSP Engineering Associate II | Sept 2019 – Aug 2021

  • Sensor & Geospatial Data Integration: Developed Python scripts utilizing REST APIs to automate the extraction, validation, and transformation of heterogeneous geospatial data into precise engineering models.
  • System Analytics: Designed interactive data visualizations and executive dashboards, turning fragmented field hardware data into unified reporting metrics.
  • Technical Feasibility: Evaluated open-source software tools and algorithms to process unstructured survey data, optimizing engineering workflows for physical infrastructure deployments.

Preventice Solutions
DevOps Engineer | Dec 2018 – May 2019

  • Version Control Migration: Orchestrated the secure migration of legacy codebases to Azure DevOps (Git), establishing modern version control standards for the engineering team.
  • Deployment Automation: Refactored continuous delivery triggers to automate environment builds, ensuring highly available backend infrastructure for development operations.
  • System Scaling: Evaluated scalable cloud deployments using Infrastructure as Code (IaC) templates, standardizing environments for data-centric applications.

TECHNICAL PROJECTS

Picar-BBC: 4WD Smart Car Controller | Personal Project
Embedded Systems Developer | Raspberry Pi, Python, Docker, Ansible, TCP/IP, React

  • Hardware/Software Integration: Used Python on a Raspberry Pi (Debian 12) with GPIO, ADCs, and camera modules for client-server control of motors, servos, and sensors (ultrasonic, line tracking).
  • Deployment Automation: Automated provisioning with Ansible and containerized the stack using Docker for reliable, reproducible edge deployments.
  • Real-Time Networking & Streaming: Developed a React web client for remote control and real-time video streaming, securely exposing TCP/IP sockets and REST APIs via Cloudflare Tunnels.
  • System Validation: Created a comprehensive testing suite to independently verify hardware subsystems (sensors, servos, WS2812B LEDs), demonstrating rigorous debugging and hardware validation.

EDUCATION & CERTIFICATIONS

B.S., Computer Science (Cum Laude) | Winona State University | May 2018

Certifications:

  • Certified GenAI Associate Engineer | July 2025
  • Microsoft Certified: Azure for SAP Workloads Specialty (AZ-120) | Nov 2024
  • Lean Six Sigma White Belt | July 2024
  • Certified Scrum Master | March 2020