Waren Long is a founding engineer and research lead focused on building next-generation AI models for software development, with 13 years of experience blending ML research, backend systems, and product leadership. He leads dataset design and data-quality pipelines at Poolside, delivering large-scale natural language and code corpora for pretraining and fine-tuning high-performance LLMs. Previously he scaled and productized developer-focused analytics at Athenian and contributed research-grade ML systems at source{d}, publishing and presenting at top conferences. Waren is a pragmatic polyglot engineer—his open-source work ranges from CUDA-optimized K-means and multi-GPU TensorFlow improvements to database and file-streaming libraries—demonstrating deep systems optimizations and cross-language interoperability. Based in Paris, he combines academic training in math, optimization and CS with a track record of turning large messy code and telemetry datasets into production-ready ML products.
13 years of coding experience
6 years of employment as a software developer
Math Sup / Math Spé Mathematics and Physics, Math Sup / Math Spé Mathematics and Physics at Louis Pasteur
Master of Science in Engineering Optimization and Statistics, Master of Science in Engineering Optimization and Statistics at ENSTA
Open-source engine for Heroes of Might and Magic III
Role in this project:
Back-end Developer
Contributions:96 commits, 64 PRs, 19 pushes in 1 year 1 month
Contributions summary:Waren primarily contributed to the open-source engine for Heroes of Might and Magic III, focusing on implementing and refining game mechanics. Their commits demonstrate the addition of "override" to virtual methods, and refactoring to address warnings related to `std::abs`. The user also made several fixes related to memory issues, and quest-related content demonstrating a good understanding of the game's backend logic, data structures and C++ implementation.
Contributions:7 commits, 8 PRs, 23 comments in 11 months
Contributions summary:Waren contributed to the project by refactoring code, specifically changing `if-else` statements into declaration-based loops. They also added a feature to format iteration time, improving the user experience. Furthermore, the user implemented progress indication for CLI parsing and fixed an integer overflow issue related to writing readable model data.
crosswordbigdatapythonldac-plus-plus
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Waren Long - Founding Engineer & Research Lead - Data