Sophia Gallo
Electrical Ground Support Equipment Engineer | Test & Launch Operations @ Texas Rocket Engineering Lab
About
I am a junior at the Cockrell School of Engineering at UT Austin, and am passionate about the design and development of industrial control systems for rocket ground support systems. I am looking to expand my expertise by gaining hands-on experience in schematic design, test engineering, and control systems networking. I thrive in dynamic, collaborative environments and am always eager to learn and take on new challenges.
United States
Austin
Higher Education
Network Design, Redundant Systems, Industrial Control System Modeling Software, Computer-Aided Design (CAD), Laser Cutting, Soldering, Prototyping, Operational Test & Evaluation, HMI Design, SNMP, CLI, EtherNet/IP, Network Device Configuration, Putty, OSIsoft PI, PI Data Historian, Microsoft Excel, Microsoft Visio, Wiring Diagrams, Panel Wiring
Experience

Electrical Ground Support Equipment Engineer | Test & Launch Operations
Austin, Texas, United States
Working on data acquisition systems for EGSE supporting Halcyon, a liquid bipropellant rocket, as part of a student-led engineering project. • Designed wiring diagrams in Visio displaying connections between data acquisition input/output modules and ground support equipment, supporting reliable signal transmission • Developed a power distribution system in Visio, mapping power flow from power supplies to GSE, and calculated and aggregated power and current draws of sensors, actuators, and DAQ modules in Excel to establish system requirements and document system architecture • Assembled and wired junction box components for the data acquisition system, and verifying wiring integrity and system functionality via bidirectional signal testing with connected GSE using LabVIEW

Electrical Test Engineer | Kennedy Ground Control Subsystem (KGCS)
Kennedy Space Center, Florida
Worked as an intern with KGCS supporting the evaluation, testing, and monitoring of network devices for the Artemis mission. • Tested and evaluated the capabilities of a new Ethernet switch for integration into field operations, supporting reliable bidirectional data transfer between field devices and industrial network infrastructure • Leveraged Simple Network Management Protocol to poll the switch for data, configuring interfaces and data points within PI client software to enable real-time device monitoring, with data archived in PI Historian • Developed a Human-Machine Interface to visualize these time-series data points, displaying port-level metrics, ring topology link status, and system health indicators such as CPU utilization, enabling early issue detection and reducing unplanned downtime

Hardware Engineer
Austin, Texas, United States
Worked on the hardware team for the collaborative design and assembly of an autonomous drone. • Analyzed motor and propeller combinations to optimize the performance of the drone considering electronic speed controller specifications, motor KV ratings, power requirements, and overall weight • Designed structural frames, a camera mount, and legs for the square drone using Fusion 360 considering the dimensions of electrical components, and fabricated the parts using laser-cut wood and 3D-printed filament • Assembled the structural and electrical components of the drone and tested the performance of the motors and propellers to evaluate the efficiency of the combination and identify potential areas of improvement

Electrical Test Engineer | Kennedy Ground Control Subsystem (KGCS)
Kennedy Space Center, Florida
Worked as an intern with KGCS supporting the development of industrial control system network schematics for the Artemis mission. • Engineered multiple models of the Programmable Logic Control network architecture for Artemis II using industrial control system modeling software, leveraging analysis of ground integrated schematics • Integrated new PLC hardware and redundant network topologies into the models to ensure reliable connectivity across multiple facilities, and modeled CIP data flow across the control system architecture • Acquired theoretical values, such as network utilization and temperature data, from the model to compare with performance results for the purpose of evaluating the efficiency of the industrial control system design
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