Andrew Lapp is an independent software contractor with 11 years of experience specializing in software architecture, machine learning, and transformer-based language model inference and training. As a former CTO and co-founder, he combines product-minded leadership with hands-on engineering, having built production systems for finance firms (market surveillance, automated risk infrastructure) and enterprise-scale data delivery at Bloomberg. He focuses on reliable, high-performance back ends and DevOps—recent open-source work improved caching, benchmarking, and VLLM integration for structured text generation. Comfortable as a sole developer or technical lead, he brings deep Python expertise and practical experience turning research-grade models into deployable inference systems. based in the United States, he prefers direct technical conversations (no recruiters) and can be reached at andrew@li.rew.la.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Purdue University
Contributions:143 reviews, 93 PRs, 482 comments in 11 months
Contributions summary:Andrew primarily contributed to improving the project's caching mechanism and adding benchmark tests for compilation performance. They fixed issues related to version upgrades, cache invalidation, and the generation of ignore terminals. The user also addressed problems with the VLLM integration, and the overall code changes suggest a focus on improving the system's performance and reliability.
Contributions:3 PRs, 101 pushes, 10 branches in 2 years 4 months
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