David Maple is a Staff Software Engineer specializing in GenAI with over two decades of experience in software and distributed systems architecture, now focused on large language models, code generation, fine-tuning, and task orchestration. He blends deep systems expertise (Rust, Python, Kotlin, Java/Scala, TypeScript, PHP) with AWS solutions architecture to build production-grade, high-efficiency ML tooling and frameworks. At KODEGEN.ᴀɪ he helped deliver a Rust-native MCP server and a suite of hyper-optimized auto-coding tools aimed at fast, cost-efficient autonomous code generation before moving to Walmart Global Tech. His background spans hands-on product delivery from startups to enterprise—leading engineering teams as CTO and architecting high-throughput decisioning and call-center systems. Known for pairing pragmatic engineering with performance optimization, he often chooses low-level, efficient implementations (e.g., Rust-native servers) to drive predictable, high-quality outcomes. Based in Las Vegas, he combines entrepreneurial experience with large-scale operational know-how to ship reliable AI-enabled systems.
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