Gray Marshall — Software Engineering Portfolio

About
I’m a second-year CS major translating raw race-car bytes into winning insights for UT Austin’s Formula SAE EV Team — and building the real-time systems that keep competition software reliable under pressure. At Longhorn Racing, I work on a distributed telemetry stack spanning on-car data ingest, real-time streaming, persistent storage, and live visualization, turning high-frequency vehicle data into actionable insight for engineers and drivers in the moment.
That same systems-first mindset carries beyond the car. I co-founded and lead the technical direction of Longhorn Sim Racing, where I’ve designed and shipped a production-grade web platform built with Next.js, React, and TypeScript. The platform supports member accounts, event registration, admin tooling, statistics dashboards, and the foundation for digital payments and notifications — all built for scale, reliability, and real organizational use.
Across both domains, I optimize for tight feedback loops, clear abstractions, and durable software that ships fast and performs under pressure. Iterate • Improve • Deploy. Open to Summer 2026 SWE internships — let’s connect.
Featured Projects

Longhorn Sim Racing Platform
Events, Membership & Competition Management Platform
- Centralized membership, events, and competition results into a single self-serve platform.
- Automated race result ingestion and leaderboard/statistics processing.
- Reduced administrative workload and improved consistency across event operations.

Formula SAE EV Telemetry System
Distributed Real-Time Vehicle Telemetry & Analytics Platform
- Powers live telemetry, timing, and analytics for engineers and drivers during testing and competition.
- Streams high-frequency vehicle data end-to-end with low latency and fault tolerance.
- Enables trackside decision-making through real-time visualization and post-session analysis.
In-Vehicle Driver Dash System
Real-Time Driver Display for Vehicle State, Timing, and Energy Data
- Displays live timing, energy deltas, and vehicle state directly to the driver in real time.
- Designed for clarity and reliability under high-speed, safety-critical conditions.
- Integrates live telemetry and vehicle bus data through a structured, low-latency pipeline.

Longhorn Sim Racing Platform
Events, Membership & Competition Management Platform

Formula SAE EV Telemetry System
Distributed Real-Time Vehicle Telemetry & Analytics Platform
In-Vehicle Driver Dash System
Real-Time Driver Display for Vehicle State, Timing, and Energy Data
Personal Website (v2)
Technical Portfolio & Personal Platform
AgentWorkspaces
Real-Time AI Collaboration Platform

Formula SAE EV Telemetry System
Distributed Real-Time Vehicle Telemetry & Analytics Platform
Experience

Co-Founder & Chief Technology Officer (CTO)
- Co-founded Longhorn Sim Racing and serve as Chief Technology Officer, owning the design, implementation, and evolution of the organization's core digital platform.
- Architected and implemented a full-stack TypeScript application (Next.js / React) supporting member accounts, event registration, admin tooling, and statistics dashboards.
- Built internal admin tools to manage events, registrations, and member data, prioritizing reliability, clarity, and low operational overhead for non-technical officers.
- Implemented production-grade SEO and platform discoverability, including structured metadata, sitemaps, breadcrumbing, and Google Search Console integration.
- Integrated third-party commerce infrastructure into the core platform, building a custom storefront UI while leveraging Shopify for checkout, payments, and fulfillment workflows.
- Established the technical foundation for future digital payments and notification systems, enabling scalable growth without re-architecting core infrastructure.
- Owned the platform end-to-end, from system design and implementation to deployment, iteration, and ongoing maintenance.

Telemetry Software Engineer | Electronics System (Formula SAE EV Team)
- Develop and maintain a distributed, real-time telemetry system for a Formula SAE EV race car, supporting live data ingest, streaming, storage, and visualization during testing and competition.
- Designed the on-car telemetry dashboard, balancing real-time data density, clarity, and reliability for use in high-speed, safety-critical conditions.
- Work across the full telemetry pipeline, from on-car data ingestion through real-time distribution and persistent storage, enabling engineers and drivers to make time-critical decisions trackside.
- Build web-based visualization tools in TypeScript / React for live timing, deltas, vehicle state, driver inputs, and energy usage, used across mobile devices, laptops, and trackside systems.
- Integrate real-time streaming with backend data stores and processing pipelines to support analytics such as energy prediction and performance modeling.
- Contribute to a safety- and reliability-critical codebase where correctness, latency, and fault tolerance directly impact on-track decision-making.
Education

Bachelor of Science - BS, Computer Science
Let's build something scalable.
Always open to discussing projects, roles, and Summer 2026 SWE internships.
Let's Connect!