Tracy Martinez

AI Software Engineer with 13+ years of experience designing and deploying production-grade AI systems, scalable backend architectures, and intelligent applications across cloud, mobile, and interactive platforms. Specialized in building end-to-end AI-driven products, from model integration and data pipelines to real-time inference systems and user-facing applications. Extensive hands-on experience with modern AI and software ecosystems including Python-based ML/AI frameworks, distributed backend systems, and full-stack development using React, Next.js, Angular, Svelte, React Native, TypeScript, and Golang, alongside strong production engineering expertise in .NET, Java, Rust, C#, and Kotlin. Previously contributed to autonomous vehicle AI research and engineering at General Motors, focusing on perception, data-driven systems, and large-scale software integration for real-world AI applications. Later transitioned into freelance and independent engineering, delivering AI-powered platforms across domains such as intelligent learning systems, interactive simulations, productivity tools, and game-like environments. Strong foundation in applied AI system design, scalable architecture, and production ML integration, with experience building cloud-native, event-driven systems and real-time interactive applications. Comfortable operating across the full AI lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization in production environments.